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Free Download PyTorch Ultimate 2023 From Basics to Cutting-Edge Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 19h 2m | Size: 8.83 GB Become an expert applying the most popular Deep Learning framework PyTorch What you'll learn learn all relevant aspects of PyTorch from simple models to state-of-the-art models deploy your model on-premise and to Cloud Transformers Natural Language Processing (NLP), e.g. Word Embeddings, Zero-Shot Classification, Similarity Scores CNNs (Image-, Audio-Classification; Object Detection) Style Transfer Recurrent Neural Networks Autoencoders Generative Adversarial Networks Recommender Systems adapt top-notch algorithms like Transformers to custom datasets develop CNN models for image classification, object detection, Style Transfer develop RNN models, Autoencoders, Generative Adversarial Networks learn about new frameworks (e.g. PyTorch Lightning) and new models like OpenAI ChatGPT use Transfer Learning Requirements basic Python knowledge Description PyTorch is a Python framework developed by Facebook to develop and deploy Deep Learning models. It is one of the most popular Deep Learning frameworks nowadays. In this course you will learn everything that is needed for developing and applying Deep Learning models to your own data. All relevant fields like Regression, Classification, CNNs, RNNs, GANs, NLP, Recommender Systems, and many more are covered. Furthermore, state of the art models and architectures like Transformers, YOLOv7, or ChatGPT are presented. It is important to me that you learn the underlying concepts as well as how to implement the techniques. You will be challenged to tackle problems on your own, before I present you my solution.In my course I will teach you:Introduction to Deep Learninghigh level understandingperceptronslayersactivation functionsloss functionsoptimizersTensor handlingcreation and specific features of tensorsautomatic gradient calculation (autograd)Modeling introduction, incl. Linear Regression from scratchunderstanding PyTorch model trainingBatchesDatasets and DataloadersHyperparameter Tuningsaving and loading modelsClassification modelsmultilabel classificationmulticlass classificationConvolutional Neural NetworksCNN theorydevelop an image classification modellayer dimension calculationimage transformationsAudio Classification with torchaudio and spectrogramsObject Detectionobject detection theorydevelop an object detection modelYOLO v7, YOLO v8Faster RCNNStyle TransferStyle transfer theorydeveloping your own style transfer modelPretrained Models and Transfer LearningRecurrent Neural NetworksRecurrent Neural Network theorydeveloping LSTM modelsRecommender Systems with Matrix FactorizationAutoencodersTransformersUnderstand Transformers, including Vision Transformers (ViT)adapt ViT to a custom datasetGenerative Adversarial NetworksSemi-Supervised LearningNatural Language Processing (NLP)Word Embeddings IntroductionWord Embeddings with Neural NetworksDeveloping a Sentiment Analysis Model based on One-Hot Encoding, and GloVeApplication of Pre-Trained NLP modelsModel DebuggingHooksModel Deploymentdeployment strategiesdeployment to on-premise and cloud, specifically Google CloudMiscellanious TopicsChatGPTResNetExtreme Learning Machine (ELM)Enroll right now to learn some of the coolest techniques and boost your career with your new skills.Best regards,Bert Who this course is for Python developers willing to learn one of the most interesting and in-demand techniques Homepage https://www.udemy.com/course/pytorch-ultimate/ Rapidgator https://rg.to/file/13c274b8b1e97055b51aa18ade16cb29/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part01.rar.html https://rg.to/file/1a823ede12418793eb846aa3284a09d2/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part02.rar.html https://rg.to/file/27627fb8f25f6d4cf6fcb56deb8acadf/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part04.rar.html https://rg.to/file/5d88beef9b1a83f56122f3a3a9c3a54d/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part05.rar.html https://rg.to/file/66af5794c8e6223a7b12655c202d872d/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part03.rar.html https://rg.to/file/9ef7cb9550fe1a52323d3bda150753be/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part06.rar.html https://rg.to/file/a8f92171e3d24263261174cb23d69988/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part08.rar.html https://rg.to/file/b60d88ca93a75ebbfee79ee291c85d5a/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part09.rar.html https://rg.to/file/bd798802af0e63b979ce31bb425c0399/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part10.rar.html https://rg.to/file/f9a6d6db390e926c127475dc1dfaf7c6/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part07.rar.html Fikper Free Download https://fikper.com/3wacvSalaD/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part09.rar.html https://fikper.com/4SCpxkhcen/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part05.rar.html https://fikper.com/8wxoKDOZSS/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part04.rar.html https://fikper.com/HOkF9QBCTX/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part02.rar.html https://fikper.com/IBTl3cr8nR/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part07.rar.html https://fikper.com/IvhsrZGMLb/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part10.rar.html https://fikper.com/iqJMUX5ZIF/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part08.rar.html https://fikper.com/k75s5EufZX/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part01.rar.html https://fikper.com/km6RGyUUqO/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part03.rar.html https://fikper.com/qA9KVtOnbY/hovjj.PyTorch.Ultimate.2023.From.Basics.to.CuttingEdge.part06.rar.html No Password - Links are Interchangeable

Free Download Mastering Generative AI with PyTorch - Hands-on Experience Published 9/2024 Created by Navid Shirzadi, Ph.D. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 59 Lectures ( 13h 41m ) | Size: 5.1 GB Hands-On Training in Generative Adversarial Networks: Create, Train, and Apply GANs with PyTorch What you'll learn: Understand GAN Fundamentals Learn to build and train GAN models from scratch using PyTorch Acquire the skills to create synthetic data for various applications Explore advanced GAN techniques for converting text into images Requirements: Basic Python Knowledge Understanding of Machine Learning Concepts Mathematical Background Description: Dive into the transformative world of Generative AI with this comprehensive course on Generative Adversarial Networks (GANs) using PyTorch. This course is designed to provide a deep understanding of GANs and their applications, blending theoretical knowledge with extensive hands-on experience.What You'll Learn:Core GAN Concepts: Grasp the fundamentals of GANs, including the dynamics between the Generator and Discriminator networks, and understand how they collaborate to create realistic outputs.Advanced Model Development: Gain practical experience in building and training sophisticated GAN models from scratch using PyTorch. Learn to implement Convolutional Neural Networks (CNNs) for both Generator and Discriminator, and discover how to refine these models for enhanced performance.Complex Data Generation Techniques: Explore how to integrate complex models such as Long Short-Term Memory (LSTM) networks into GAN frameworks to generate time series and sequential data. Understand the synergy between LSTMs and GANs to create high-quality synthetic data.Text-to-Image Synthesis: Delve into advanced GAN techniques for generating images from textual descriptions. Learn how to combine textual input with visual data to produce accurate and engaging visual representations.Ethical Considerations: Engage in discussions about the moral implications of generative AI technologies. Understand the potential impact of GANs on privacy, misinformation, and the ethical use of synthetic data.Hands-On Coding Experience: Work on real-world projects with step-by-step guidance. You'll write and debug code collaboratively, with detailed line-by-line explanations of the purpose and function of each line. Learn to troubleshoot and optimize your GAN models for better results.Who Should Enroll:This course is ideal for aspiring data scientists, machine learning engineers, and Python developers who want to expand their expertise in generative models. It is also suitable for researchers and practitioners in computer vision and those interested in the ethical dimensions of AI. Whether you're new to GANs or looking to deepen your knowledge with advanced techniques and ethical insights, this course provides the tools and understanding to apply generative AI effectively in real-world scenarios.Join us to master GANs, leverage complex models for innovative data generation, and gain practical, hands-on experience with detailed debugging and code explanations! 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