Introduction When learning machine learning, it is easy to rely on powerful frameworks such as...
Introduction
When learning machine learning, it is easy to rely on powerful frameworks such as PyTorch and TensorFlow.
A few lines of code can create a neural network, train it on thousands of examples, and achieve impressive results.
For a long time, that was how I approached deep learning.
I understood the high-level concepts, but many of the mechanics remained hidden behind library abstractions.
One neuron, ~30 lines of JavaScript, learns to separate two classes. The atom every deep network is built from — and the…
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