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PyTorch Recipes

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  • 204 pages
  • 8 hours of reading

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Chapter 1: Introduction PyTorch, Tensors, Tensor Operations and Basics.- Chapter 2: Probability distributions using PyTorch.- Chapter 3: Convolutional Neural Network and RNN using PyTorch.- Chapter 4: Introduction to Neural Networks, Tensor Differentiation .- Chapter 5: Supervised Learning using PyTorch.- Chapter 6: Fine Tuning Deep Learning Algorithms using PyTorch.- Chapter 7: NLP and Text Processing using PyTorch.-

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PyTorch Recipes, Pradeepta Mishra

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2019
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