November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Which optimizer to choose
In the case that the input data is sparse or if we want fast convergence while training complex neural networks, we get the best results using adaptive learning rate methods. We also don't need to tune the learning rate. For most cases, Adam is usually a good choice.
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