The Mathematics of Neural Networks (Explained Visually)



This video uses a spatial analogy to explore why deep neural networks are more powerful than shallow ones. This is part 4 in my deep learning series: https://www.youtube.com/playlist?list=PLbg3ZX2pWlgKV8K6bFJr5dhM7oOClExUJ We’ll explore what neurons are doing individually and as a group to “understand” perceptions. It leads us to the Manifold Hypothesis.

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