This book introduces deep learning from the bottom up, using a Socratic approach and humorous writing style. It leads readers through the complete implementation of a recognizer for noisy Morse code signals, using concepts such as tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation.
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