Book Content
chapters • 5h16m total length
1. Introduction to PyTorch
2. Deep Learning Fundamentals
3. Computational Graphs and Linear Models
4. Convolutional Networks
5. Other NN Architectures
6. Getting the Most out of PyTorch
PyTorch is extremely powerful and yet easy to learn. It provides advanced features such as supporting multiprocessor, distributed and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power.
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chapters • 5h16m total length
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