deep-learning
Minibatch and stochastic gradient descent
taught
Taught in
-
A few examples at a time: stochastic and minibatch descent
Deep Learning / Neural Networks
Requires
- gradient-descent-for-line-fitting required
-
stochastic-gradient-descent
helpful
Optimization's own general treatment of estimating the gradient from a random sample, of which this section's minibatch is one concrete case.
Required by
- The training loop required
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Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.