PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
Explore deep learning with PyTorch through a hands-on guide to CNNs, RNNs, GANs, reinforcement learning, and more. Written for readers who want to build and understand models, this book offers a practical path through several important areas of contemporary machine learning.
About This Book
PyTorch Deep Learning Hands-On introduces deep learning concepts through the PyTorch framework.
The book covers convolutional neural networks, recurrent neural networks, generative adversarial networks, and reinforcement learning.
Its hands-on focus is intended to help readers build and work with deep learning models.
Written by Sherin Thomas, it provides a broad practical overview of key techniques in modern deep learning.
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