(a) Deep-learning-pre-processing for phase recovery. (b) Deep-learning-in-processing for phase recovery. (c) Deep-learning-post-processing for phase recovery. (d) Deep learning for phase processing.
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
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Deep learning regularization: Prevent overfitting effectively explained
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...
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