Deep learning basics in Python using NumPy, PyTorch, and TensorFlow/Keras: linear regression, softmax regression, multilayer perceptron, etc.

This Jupyter notebook presents fully-detailed and commented examples of classic deep learning models written from scratch in NumPy and in PyTorch, and also using higher-level APIs in PyTorch and in TensorFlow/Keras, with the help of Dive into Deep Learning interactive book.

Models:

• Linear regression
• Softmax regression
• Multilayer perceptron
• ...

See Jupyter notebook viewer.

• Zafar Rafii
• http://zafarrafii.com/
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