December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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Optimization techniques
The torch.optim package contains a number of optimization algorithms, and each of these algorithms has several parameters that we can use to fine-tune deep learning models. Optimization is a critical component in deep learning, so it is no surprise that different optimization techniques can be key to a model's performance. Remember, its role is to store and update the parameter state based on the calculated gradients of the loss function.
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