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PyTorch for Deep Learning and Computer Vision

von Mohammed Shalgham 0 B • 0 Dateien

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Chapter 1  Introduction
Chapter 2  Getting Started
Chapter 3  Intro to Tensors – PyTorch
Chapter 4  Linear Regression – PyTorch
Chapter 5  Perceptrons – PyTorch
Chapter 6  Deep Neural Networks – PyTorch
Chapter 7  Image Recognition – PyTorch
Chapter 9  CIFAR 10 Classification – PyTorch
Chapter 10  Transfer Learning – PyTorch
Chapter 11  Style Transfer – PyTorch
Chapter 12  Appendix A - Python Crash Course
Chapter 13  Appendix B - NumPy Crash Course
Chapter 14  Appendix C - Softmax Explanation

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