Deep network training exhibits an early sensitive 'chaos' phase and a later stable 'cone' phase in function space, separated by an inflection point.
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New Evidence of the Two-Phase Learning Dynamics of Neural Networks
Deep network training exhibits an early sensitive 'chaos' phase and a later stable 'cone' phase in function space, separated by an inflection point.