Znajdź zawartość

Free Download Deep Learning with TensorFlow Insights and Innovations Released 10/2024 With Isil Berkun MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 6m 16s | Size: 508 MB Explore the evolving world of deep learning with TensorFlow, including the basics of generative AI, with practical, hands-on examples. Course details As the AI landscape continuously evolves, understanding the foundational and emerging aspects of deep learning becomes crucial for professionals looking to stay ahead in tech-related fields. This course helps to bridge that gap by offering updated insights on how to leverage the power of TensorFlow applications. Discover the latest features and best practices of TensorFlow with practical applications and real-world examples. Along the way, instructor Isil Berkun introduces you to generative AI concepts to inspire further exploration and learning. By the end of this course, you'll be proficient in implementing deep learning models with TensorFlow.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Diving into Codespaces" chapter to learn how to get started. Homepage https://www.linkedin.com/learning/deep-learning-with-tensorflow-insights-and-innovations Rapidgator https://rg.to/file/49b8ebc5c4e67e39430a296b3a873fc5/jtzfj.Deep.Learning.with.TensorFlow.Insights.and.Innovations.rar.html Fikper Free Download https://fikper.com/ivlg5rLSxe/jtzfj.Deep.Learning.with.TensorFlow.Insights.and.Innovations.rar.html No Password - Links are Interchangeable

Free Download TensorFlow for Deep Learning - Build AI Models Like a Pro Published 9/2024 Created by Deepak Rai MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 31m ) | Size: 1.93 GB Master the Art of Building and Deploying Advanced AI Models Using TensorFlow - From Beginner to Expert What you'll learn: Master TensorFlow basics, from setup to building and deploying deep learning models. Create neural networks for tasks like image recognition and text generation Build advanced models like CNNs, RNNs, and LSTMs using TensorFlow. Optimize model performance for faster, more accurate AI solutions. Learn how to deploy AI models into production environments efficiently. Requirements: Requirements and Prerequisites for Taking This Course: Basic Python knowledge: Familiarity with Python programming is recommended as we'll use Python to implement TensorFlow models. Fundamental understanding of machine learning: Prior knowledge of basic machine learning concepts like supervised learning and classification will be helpful. Interest in AI and deep learning: No prior deep learning or TensorFlow experience is required, but a strong interest in learning AI technologies is key. A computer with internet access: You'll need a computer to install TensorFlow, run code, and follow along with the hands-on exercises. Eagerness to learn and apply new skills: This course is designed for students ready to dive into practical deep learning with real-world applications. This ensures students are prepared while also welcoming beginners with the basics covered during the course. Description: Unlock the full potential of deep learning with TensorFlow, the leading open-source framework for building cutting-edge AI models. In this hands-on course, you'll learn how to master TensorFlow and create powerful artificial intelligence solutions, from basic concepts to advanced applications.Whether you're a beginner looking to dive into deep learning or an experienced developer aiming to sharpen your skills, this course is designed for you. With easy-to-follow lessons, real-world projects, and expert guidance, you'll build, train, and deploy neural networks for image recognition, natural language processing, and more.Key Highlights:Learn TensorFlow step-by-step - from installation to deploying AI models.Build your first neural network and progress to advanced architectures like CNNs, RNNs, and LSTMs.Hands-on projects that focus on practical applications of AI and machine learning.Explore real-world use cases like image classification, text generation, and predictive analytics.Perfect for beginners and experienced developers alike, no prior TensorFlow experience required.What You Will Learn:Deep learning fundamentals and how they apply to AI development.How to implement state-of-the-art models using TensorFlow.Techniques to optimize model performance and handle large datasets.How to deploy your AI models to production environments.Why This Course?TensorFlow powers the world's most advanced AI systems, and this course equips you with the skills to join this rapidly growing industry. With comprehensive resources and expert instruction, you'll be building AI models like a pro in no time.Enroll today and take the first step toward becoming a TensorFlow expert in deep learning! Who this course is for: Who is This Course For? Aspiring data scientists and AI enthusiasts who want to learn how to build deep learning models using TensorFlow. Software developers and engineers looking to enhance their machine learning and AI skills with hands-on TensorFlow projects. Students and professionals aiming to break into the AI field and develop practical skills for real-world applications. Researchers and analysts seeking to implement advanced neural networks and AI models for their work or projects. Beginners in machine learning who want a comprehensive introduction to TensorFlow and deep learning, no prior experience required. This course is perfect for anyone eager to master TensorFlow and apply it to build powerful AI models. Homepage https://www.udemy.com/course/tensorflow-for-deep-learning-build-ai-models-like-a-pro/ Rapidgator https://rg.to/file/fc1d1298c2f671c13a957635819cd74a/nlare.TensorFlow.for.Deep.Learning.Build.AI.Models.Like.a.Pro.part1.rar.html https://rg.to/file/58987379992cac3e67d66e1d873d0176/nlare.TensorFlow.for.Deep.Learning.Build.AI.Models.Like.a.Pro.part2.rar.html Fikper Free Download https://fikper.com/7Zf3StqxMS/nlare.TensorFlow.for.Deep.Learning.Build.AI.Models.Like.a.Pro.part1.rar.html https://fikper.com/NHPGxZUEXr/nlare.TensorFlow.for.Deep.Learning.Build.AI.Models.Like.a.Pro.part2.rar.html No Password - Links are Interchangeable

Free Download Android Machine Learning with Tensorflow Lite - 2024 Edition Published 9/2024 Created by Mobile ML Academy by Hamza Asif MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 141 Lectures ( 11h 56m ) | Size: 7.3 GB Train Image Classification, Object Detection and Regression models for Android - Build Smart Android Kotlin Applications What you'll learn: Train Machine Learning models for Android Applications Train Image Classification and Object Detection Models for Android Apps Train Linear Regression Models for Android Apps Integrate Tensorflow Lite models in Android kotlin Apps Use Computer Vision Models in Android with both Images and Live Camera Footage Train Object Detection model to count and detect fruits and build Android Application Train a fruit classification model and build a Fruit Recognition Android Application Train a brain tumor classification model and build Android App Train a machine learning model and build a fuel efficiency prediction Android Application Train a machine learning model and build a house price prediction Android Application Train Any Prediction, Classification & Object Detection Model & use it in Android Applications Analysing & using advance regression models in Android Applications Data Collection, Data Annotation & Preprocessing for ML model training for Android Application Basics of Machine Learning & Deep Learning for training Machine learning Models for Android Understand the working of artificial neural networks for training machine learning for Android Basic syntax of Python programming language to train ML models for Android Use of data science libraries like numpy, pandas and matplotlib Requirements: Visual Studio Code or Android Installed on Your System Description: Do you want to train different Machine Learning models and build smart Android applications then Welcome to this course.In this course, you will learn to train powerfulImage ClassificationObject DetectionLinear Regressionmodel in python from scratch. After that you will learn toUse your custom trained Machine Learning Models in AndroidUse existing tensorflow lite models in Android AppsRegressionRegression is one of the fundamental techniques in Machine Learning which can be used for countless applications. Like you can train Machine Learning models using regression to predict the price of the houseto predict the Fuel Efficiency of vehiclesto recommend drug doses for medical conditionsto recommend fertilizer in agriculture to suggest exercises for improvement in player performanceand so on. So Inside this course, you will learn to train your custom linear regression models in Tensorflow Lite format and build smart Android Applications.Image Classification & ApplicationsImage classification is the process of recognizing different entities or things in an image or video. You can recognize animals, plants, diseases, food, activities, colors, things, fictional characters, drinks, etc with image recognition.In e-commerce applications image classification can be used to categorize products based on their visual features, So it is used to organize products into categories for easy browsing.Image classification can be used to power visual search in mobile apps, so users can take a picture of an object and then find similar items for sale.Image classification can be used in medical apps to diagnose disease based on medical images, such as X-rays or CT scans.We can use image classification to build countless recognition applications for performing number of tasks, like we can train a model and build applications to recognizeDifferent Breeds of dogsDifferent Types of plantsDifferent Species of AnimalsDifferent kind of precious stonesImage Classification & ApplicationsObject detection is a powerful computer vision technique that can accurately identify and pinpoint the location of various objects within images or videos. By recognizing objects like cars, people, and animals, this technology empowers applications such as security surveillance, autonomous vehicles, and smartphone apps that can identify objects through the camera lens.Key Applications:Autonomous Vehicles: Cars equipped with object detection can safely navigate roads, avoid collisions, and enhance driver assistance systems.Surveillance Systems: Security cameras can identify individuals, track suspicious activity, and detect intrusions.Retail: Stores can monitor customer behavior, manage inventory, and prevent theft.Healthcare: Medical imaging systems can detect anomalies like tumors and fractures.Agriculture: Farmers can monitor crops, livestock, and detect pests or diseases.Manufacturing: Quality control and automation can be improved through object inspection and robotic guidance.Sports Analytics: Tracking player movements and equipment can enhance performance analysis and fan experience.Environmental Monitoring: Wildlife conservation and habitat protection can benefit from object detection.Smart Cities: Traffic management, public space monitoring, and waste management can be optimized.I'm Muhammad Hamza Asif, and in this course, we'll embark on a journey to combine the power of predictive modeling with the flexibility of Android app development. Whether you're a seasoned Android developer or new to the scene, this course has something valuable to offer youCourse Overview: We'll begin by exploring the basics of Machine Learning and its various types, and then dive into the world of deep learning and artificial neural networks, which will serve as the foundation for training our machine learning models for Android.The Android-ML Fusion: After grasping the core concepts, we'll bridge the gap between Android and Machine Learning. To do this, we'll kickstart our journey with Python programming, a versatile language that will pave the way for our machine learning model trainingUnlocking Data's Power: To prepare and analyze our datasets effectively, we'll dive into essential data science libraries like NumPy, Pandas, and Matplotlib. These powerful tools will equip you to harness data's potential for accurate predictions.Tensorflow for Mobile: Next, we'll immerse ourselves in the world of TensorFlow, a library that not only supports model training using neural networks but also caters to mobile devices, including AndroidRegression Models TrainingTraining Your First Machine Learning Model:Harness TensorFlow and Python to create a simple linear regression modelConvert the model into TFLite format, making it compatible with AndroidLearn to integrate the tflite model into Android apps for AndroidFuel Efficiency Prediction:Apply your knowledge to a real-world problem by predicting automobile fuel efficiencySeamlessly integrate the model into a Android app for an intuitive fuel efficiency prediction experienceHouse Price Prediction in Android:Master the art of training machine learning models on substantial datasetsUtilize the trained model within your Android app to predict house prices confidentlyComputer Vision Model TrainingImage Classification in Android:Collect and process dataset for model trainingTrain image classification models on custom datasets with Teachable MachineTrain image classification models on custom datasets with Transfer LearningUse image classification models in Android with both images and live camera footageObject Detection in AndroidCollect and Annotate Dataset for Object Detection Model TrainingTrain Object Detection ModelsUse object detection models in Android with Images & VideosThe Android Advantage: By the end of this course, you'll be equipped to:Train advanced machine learning models for accurate predictionsSeamlessly integrate tflite models into your Android applicationsAnalyze and use existing regression & vision (ML) models effectively within the Android ecosystemWho Should Enroll:Aspiring Android developers eager to add predictive modeling to their skillsetBeginner Android developer with very little knowledge of mobile app development Intermediate Android developer wanted to build a powerful Machine Learning-based applicationExperienced Android developers wanted to use Machine Learning models inside their applications.Step into the World of Android and Machine Learning: Join us on this exciting journey and unlock the potential of Android and Machine Learning. By the end of the course, you'll be ready to develop Android applications that not only look great but also make informed, data-driven decisions.Enroll now and embrace the fusion of Android and Machine Learning! Who this course is for: Beginner Android Developers who want to train ML models and build Machine Learning based Android Applications Aspiring Android developers eager to add ML modeling to their skillset Enthusiasts seeking to bridge the gap between Machine Learning and mobile app development. Machine Learning Engineers looking to build real world applications with Machine Learning Models Homepage https://www.udemy.com/course/android-machine-learning-with-tensorflow-lite-using_kotlin_masterclass/ Rapidgator https://rg.to/file/6bfc8b1d1c1c84c707b89ef34363887f/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part1.rar.html https://rg.to/file/67b4f58fce03ef4c383b4efa0af9e5a8/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part2.rar.html https://rg.to/file/dfd14866ace26c4f46b7e9ff17e5c2f5/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part3.rar.html https://rg.to/file/db9504b1d25c72d31ebae73673466880/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part4.rar.html https://rg.to/file/74d1827dc9cbd21593acc7feb5145462/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part5.rar.html https://rg.to/file/1611521ce9db9117eecc3fac06ac7c58/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part6.rar.html https://rg.to/file/2b6860632abb10607cf44347e80cc67d/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part7.rar.html https://rg.to/file/6fb5b74df158ed9b4305483e2a886a7a/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part8.rar.html Fikper Free Download https://fikper.com/QIXvDvPLCl/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part1.rar.html https://fikper.com/sLJN6JLyfJ/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part2.rar.html https://fikper.com/JLh89NzDLm/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part3.rar.html https://fikper.com/g8BPyR9rnV/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part4.rar.html https://fikper.com/IHuqjyaZY0/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part5.rar.html https://fikper.com/EABLdc9dDp/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part6.rar.html https://fikper.com/g2sDrpnHWe/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part7.rar.html https://fikper.com/k8WsHFAvEO/enyfa.Android.Machine.Learning.with.Tensorflow.Lite..2024.Edition.part8.rar.html No Password - Links are Interchangeable

Free Download Python TensorFlow Programming with Coding Exercises Published 9/2024 Created by Python AI ML DL DS Quiz Maker MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 30 Lectures ( 1h 39m ) | Size: 305 MB Master Deep Learning with TensorFlow through Practical Coding Exercises What you'll learn: How to build and train neural networks using TensorFlow. Techniques for implementing CNNs and RNNs for specific tasks. Methods for fine-tuning and optimizing deep learning models. Practical skills in deploying TensorFlow models in real-world applications. Requirements: Basic understanding of Python programming. Familiarity with fundamental machine learning concepts. Description: Welcome to Python TensorFlow Practices with Coding Exercises, a course designed to guide you through the essential concepts and techniques needed to excel in deep learning using TensorFlow. TensorFlow is one of the most powerful and widely used libraries for building machine learning and deep learning models. This course is crafted to help you gain hands-on experience in developing, training, and deploying neural networks with TensorFlow, providing you with the skills required to tackle real-world challenges in AI and data science.Why is learning TensorFlow necessary? As the demand for AI and machine learning continues to rise, the ability to build and implement deep learning models is becoming increasingly valuable. TensorFlow, developed by Google, is the go-to tool for professionals aiming to create scalable and efficient machine learning models. Whether you are an aspiring data scientist, a software engineer looking to specialize in AI, or a researcher aiming to incorporate deep learning into your work, this course is designed to meet your needs.Throughout the course, you will engage in coding exercises that cover a variety of topics, including:Introduction to TensorFlow and its ecosystemBuilding basic neural networks with TensorFlowImplementing convolutional neural networks (CNNs) for image recognitionDeveloping recurrent neural networks (RNNs) for sequence predictionTraining models using TensorFlow's Keras APIFine-tuning and optimizing models for better performanceDeploying TensorFlow models in production environmentsEach exercise is carefully structured to reinforce your understanding of TensorFlow and deep learning, ensuring that you can confidently apply these skills in practical scenarios.Instructor Introduction: Your instructor, Faisal Zamir, is a seasoned Python developer with over 7 years of teaching experience. Faisal's deep expertise in Python programming and machine learning, combined with his practical teaching approach, will guide you through the complexities of TensorFlow with ease.30 Days Money-Back Guarantee: We believe in the effectiveness of our course, which is why we offer a 30-day money-back guarantee. If you're not completely satisfied, you can request a full refund, no questions asked.Certificate at the End of the Course: Upon completing the course, you will receive a certificate that recognizes your proficiency in TensorFlow and deep learning, making it a valuable addition to your professional portfolio. Who this course is for: Aspiring data scientists and AI professionals who want to specialize in deep learning. Python developers looking to enhance their skills with TensorFlow. Researchers and professionals aiming to integrate deep learning into their work. Homepage https://www.udemy.com/course/python-tensorflow-programming-with-coding-exercises/ Rapidgator https://rg.to/file/b621e929dfdebb7407ee5ee3930ebc4a/khsag.Python.TensorFlow.Programming.with.Coding.Exercises.rar.html Fikper Free Download https://fikper.com/gYTchBWsFY/khsag.Python.TensorFlow.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

O'Reilly - Introduction to Computer Vision with TensorFlow English | Size: 988.56 MB Category: CBTS This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs. o Understand why the convolutional neural network works so well for vision tasks o Explore how each component of the architecture contributes to prediction o Learn to run models using weights pre-trained on large datasets using many processing hours o Discover how to modify pre-trained networks for completely different tasks o Tune pre-trained models to a dataset while using knowledge stored from an initial training run Download link: http://rapidgator.net/file/4f931be718481eaffdc2fd7178bccbfd/8zgrl.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.rar.html http://nitroflare.com/view/3A959A720B1F34E/8zgrl.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.rar https://uploadgig.com/file/download/e3f0859536c6574a/8zgrl.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.rar http://uploaded.net/file/b4boanpj/8zgrl.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.rar Links are Interchangeable - No Password - Single Extraction

Learning Path: TensorFlow-Slim for Complex Model Building and Training .MP4, AVC, 580 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 2+ hours | 848 MB Instructor: Marvin Bertin If you want to build and train complex TensorFlow models, this Learning Path will show you how TensorFlow-Slim, a new and underutilized library in TensorFlow, makes building, training, and evaluating complex deep learning architectures easy. Download From UploadGig https://uploadgig.com/file/download/Bb5d576E0f31d0f5/TensorFlowSlimforComplexModelBuildingandTra.rar Download From NitroFlare http://nitroflare.com/view/27AAA9E00F4605F/TensorFlowSlimforComplexModelBuildingandTra.rar Download From Rapidgator http://rapidgator.net/file/b0343531ecdab320a82d9d5ad83a2815/TensorFlowSlimforComplexModelBuildingandTra.rar.html

Packt Publishing - Learning Path - TensorFlow - The Road to TensorFlow Second Edition English | Size: 1.90 GB Category: CBTS It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. This Learning Path begins by covering everything you need to know about Python. We then move on to understand deep learning as implemented by Python and TensorFlow. Finally, we solve common commercial machine learning problems using TensorFlow. If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this Learning Path will help you get up to speed. Prerequisites: A firm understanding of Python and the Python ecosystem. This path navigates across the following products (in sequential order): * Mastering Python - Second Edition (5h 21m) * Deep Learning with Python (1h 45m) * Deep Learning with TensorFlow (2h) * Machine Learning with TensorFlow (1h 14m) Download link: http://rapidgator.net/file/048b0a6f98a1dd70314acd2e2bac31a2/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part1.rar.html http://rapidgator.net/file/4e7b2c55f4e05b8dfcb886ec2579e8a4/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part2.rar.html http://rapidgator.net/file/32683ae1c3e0e6e284e0475a89d24196/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part3.rar.html http://nitroflare.com/view/947FE7E9EE4A976/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part1.rar http://nitroflare.com/view/8C24933495A9525/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part2.rar http://nitroflare.com/view/DD776DD92B8034C/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part3.rar https://uploadgig.com/file/download/bD6b9Bd8126c7a0a/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part1.rar https://uploadgig.com/file/download/03ec78cf5042De5d/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part2.rar https://uploadgig.com/file/download/37e667aFf96eC384/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part3.rar http://uploaded.net/file/mfenzeit/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part1.rar http://uploaded.net/file/73semt5v/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part2.rar http://uploaded.net/file/9pfkluzk/qx8ja.Packt.Publishing..Learning.Path..TensorFlow..The.Road.to.TensorFlow.Second.Edition.part3.rar Links are Interchangeable - No Password - Single Extraction

Learning Path: TensorFlow-Slim for Complex Model Building and Training .MP4, AVC, 580 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 2+ hours | 848 MB Instructor: Marvin Bertin If you want to build and train complex TensorFlow models, this Learning Path will show you how TensorFlow-Slim, a new and underutilized library in TensorFlow, makes building, training, and evaluating complex deep learning architectures easy. More Info https://www.safaribooksonline.com/library/view/learning-path-tensorflow-slim/9781491986820/ Download link: http://rapidgator.net/file/45bd413797c7f32daebf4d407ee75577/wetmj.Learning.Path.TensorFlowSlim.for.Complex.Model.Building.and.Training.rar.html http://nitroflare.com/view/3A4F8F0D3BF72D4/wetmj.Learning.Path.TensorFlowSlim.for.Complex.Model.Building.and.Training.rar https://uploadgig.com/file/download/e2a91fFd0133652c/wetmj.Learning.Path.TensorFlowSlim.for.Complex.Model.Building.and.Training.rar http://uploaded.net/file/um7oklnn/wetmj.Learning.Path.TensorFlowSlim.for.Complex.Model.Building.and.Training.rar Links are Interchangeable - No Password - Single Extraction

O'Reilly - Introduction to Computer Vision with TensorFlow English | Size: 988.56 MB Category: CBTS This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs. o Understand why the convolutional neural network works so well for vision tasks o Explore how each component of the architecture contributes to prediction o Learn to run models using weights pre-trained on large datasets using many processing hours o Discover how to modify pre-trained networks for completely different tasks o Tune pre-trained models to a dataset while using knowledge stored from an initial training run Download link: http://rapidgator.net/file/8a6435edda031ed7a9b484a4ccefd71a/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part1.rar.html http://rapidgator.net/file/925be50d8b0104c9ecbed4fa0ae358fb/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part2.rar.html http://nitroflare.com/view/E57B449FA085D2D/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part1.rar http://nitroflare.com/view/0A9C00CFF0DC7C1/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part2.rar https://uploadgig.com/file/download/733dbb60bd322221/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part1.rar https://uploadgig.com/file/download/93fE4271aaee5670/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part2.rar http://uploaded.net/file/r19xg9jv/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part1.rar http://uploaded.net/file/rz2osed2/yldmp.OReilly..Introduction.to.Computer.Vision.with.TensorFlow.part2.rar Links are Interchangeable - No Password - Single Extraction

O'Reilly - Introduction to Deep Learning Models With TensorFlow English | Size: 162.29 MB Category: Tutorial Learn How to Work With TensorFlow to Create and Run a TensorFlow Graph, and Build a Deep Learning Model. TensorFlow is by far the most popular deep learning software package available today. This training covers all of the essentials of TensorFlow; and provides you with hands-on experience building a deep learning model using the TensorFlow library. Every line of code written during the course is analyzed to help you understand what can be a complicated process. The lessons look at the key mathematical foundations of deep learning models, giving you insight into what makes these techniques work. Created for software engineers and budding data scientists, the course requires basic familiarity with Python programming; as well as statistics concepts such as linear and logistic regression, machine learning concepts like classification, and linear algebra. Jupyter Notebook is used to write and run code. * Learn how to set up TensorFlow on your machine * Master the ability to build a deep learning model that solves true-to-life problems * Understand how to create and run a TensorFlow graph * Understand the benefits of deep learning compared to traditional machine learning and when it should be used * Become familiar with the "gotchas" of the TensorFlow library * Learn how to debug programs when things go wrong Download link: http://rapidgator.net/file/2de85c8c8c48e4c9f23a2adb4bb741dd/y0z2i.OReilly..Introduction.to.Deep.Learning.Models.With.TensorFlow.rar.html http://nitroflare.com/view/768348B72004AF7/y0z2i.OReilly..Introduction.to.Deep.Learning.Models.With.TensorFlow.rar https://uploadgig.com/file/download/dD52647986d43Ba3/y0z2i.OReilly..Introduction.to.Deep.Learning.Models.With.TensorFlow.rar http://uploaded.net/file/0z3ynsls/y0z2i.OReilly..Introduction.to.Deep.Learning.Models.With.TensorFlow.rar Links are Interchangeable - No Password - Single Extraction

Learning Path - TensorFlow: The Road to TensorFlow Second Edition MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8 Hours | 1.90 GB Genre: eLearning | Language: English by Taabish Khan - Curator Publisher: Packt Publishing Release Date: April 2017 ISBN: 9781788398657 Topics: Python It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. This Learning Path begins by covering everything you need to know about Python. We then move on to understand deep learning as implemented by Python and TensorFlow. Finally, we solve common commercial machine learning problems using TensorFlow. If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this Learning Path will help you get up to speed. Prerequisites: A firm understanding of Python and the Python ecosystem Download From UploadGig https://uploadgig.com/file/download/0B40fe8319Ef103b/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part1.rar https://uploadgig.com/file/download/d778F31cc5f58f4F/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part2.rar https://uploadgig.com/file/download/8fDb666c47F6a9ac/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part3.rar Download From NitroFlare http://nitroflare.com/view/DFC3DBE43157E89/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part1.rar http://nitroflare.com/view/C4DC17D66881A75/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part2.rar http://nitroflare.com/view/9C3FF0EBF77B814/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part3.rar Download From Rapidgator http://rapidgator.net/file/287fdff51b6a9f06d6a2f587c3695171/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part1.rar.html http://rapidgator.net/file/93bf1916cef1f2182fb1e4724751c6ad/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part2.rar.html http://rapidgator.net/file/be45356f2c2ffeb0d477af01ac6d55ad/xidau123_TensorFlowTheRoadtoTensorFlowSecondEdition.part3.rar.html

Introduction to Computer Vision with TensorFlow MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 30M | 498 MB Genre: eLearning | Language: English . This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs. Understand why the convolutional neural network works so well for vision tasks Explore how each component of the architecture contributes to prediction Learn to run models using weights pre-trained on large datasets using many processing hours Discover how to modify pre-trained networks for completely different tasks Tune pre-trained models to a dataset while using knowledge stored from an initial training run Download link: http://rapidgator.net/file/a255cee885bdbdbbbb841ccfdcf75361/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part1.rar.html http://rapidgator.net/file/201b16bdcdc90dc0448ac09d02d54480/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part2.rar.html http://nitroflare.com/view/C3B35599A287AF3/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part1.rar http://nitroflare.com/view/CE648695222C5AF/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part2.rar https://uploadgig.com/file/download/3203B8fbb509F816/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part1.rar https://uploadgig.com/file/download/9e0c1E4c2e64ce06/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part2.rar http://uploaded.net/file/sv1h11ue/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part1.rar http://uploaded.net/file/0k37if5b/ouuxy.Introduction.to.Computer.Vision.with.TensorFlow.part2.rar Links are Interchangeable - No Password - Single Extraction

Packt Learning Path: The Road to Tensorflow .MP4, AVC, 461 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 8.3 hours | 1.63 GB Curator: Vedika Naik It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this path will help you get up to speed. It specifically focuses on getting you up and running with TensorFlow, after up-and-running coverage of Python and Deep Learning in Python with Theano. This path navigates across the following products (in sequential order): Mastering Python (2h 35m) Data Mining with Python (2h 3m) Deep Learning with Python (1h 45m) Deep Learning with TensorFlow (2h 0m) Download link: http://rapidgator.net/file/c1e1b81381fd1140863965d08cbaba35/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar.html]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar.html http://rapidgator.net/file/f9637d8cd031b1c4542ea0f9291ab008/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar.html]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar.html http://nitroflare.com/view/9BE195217B86897/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar http://nitroflare.com/view/3C425E691355DED/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar http://uploaded.net/file/d209o13m/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar http://uploaded.net/file/5qq0iusm/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar https://www.bigfile.to/file/RPFfCGur8tXD/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar https://www.bigfile.to/file/XzsQdZHFZdKn/o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar]o9twe.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar Links are Interchangeable - No Password - Single Extraction

Packt Learning Path: The Road to Tensorflow .MP4, AVC, 461 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 8.3 hours | 1.63 GB Curator: Vedika Naik It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this path will help you get up to speed. It specifically focuses on getting you up and running with TensorFlow, after up-and-running coverage of Python and Deep Learning in Python with Theano. This path navigates across the following products (in sequential order): Mastering Python (2h 35m) Data Mining with Python (2h 3m) Deep Learning with Python (1h 45m) Deep Learning with TensorFlow (2h 0m) DOWNLOAD http://rapidgator.net/file/37b22a53e8f3a59e7ec138c594a61885/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar.html http://rapidgator.net/file/5505ccf1427166b3ef0e9c480858c4da/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar.html http://uploaded.net/file/46e0fgxj/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar http://uploaded.net/file/f7nv9yaj/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar https://www.bigfile.to/file/nfeJun7YnxRg/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar https://www.bigfile.to/file/T55HU2B8pkAt/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar http://nitroflare.com/view/BF6C00F00D60A10/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar http://nitroflare.com/view/6D70589BF60A971/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar http://uploadgig.com/file/download/a27FbFAa15a7bDaD/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part1.rar http://uploadgig.com/file/download/b5bF25956d616aAC/9slrq.Packt.Learning.Path.The.Road.to.Tensorflow.part2.rar