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: 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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