xidau123 13 Napisano 15 Listopad 2017 Avoiding the Pitfalls of Deep Learning MP4 | Video: AVC 1920x1080 | Audio: AAC 44KHz 2ch | Duration: 47M | 435 MB Genre: eLearning | Language: English | Release Date: November 2017 Understanding how to create a deep learning neural network is an essential component of any data scientist's knowledge base. This video continues the explanation of how to build neural networks using Python and MXNet (a flexible and efficient deep learning library) described in "Introduction to Deep Learning with MXNet." This course covers some of the challenges that arise when training neural networks. It focuses on the problem of overfitting and its potential remedy: regularization. Learners should have a basic understanding of Python, linear algebra, and calculus. Discover what overfitting means and how to recognize it in deep learning models Understand how to sample your data to reduce the likelihood of overfitting Learn about regularization and its use as a remedy for overfitting Ukryta Zawartość Treść widoczna tylko dla użytkowników forum DarkSiders. Zaloguj się lub załóż darmowe konto na forum aby uzyskać dostęp bez limitów. Cytuj Udostępnij tę odpowiedź Odnośnik do odpowiedzi Udostępnij na innych stronach