The Fundamentals of Modern Deep Learning with PyTorch
summary
Walks through using PyTorch to train neural networks for image and text classification, covering tensors, automatic differentiation, and building models with the PyTorch API. Compares deep learning with traditional machine learning and introduces PyTorch Lightning and other open-source tools for mixed-precision and multi-GPU training, with examples runnable on a laptop or via Google Colab.
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