A REVIEW OF HANDS-ON DEEP LEARNING ARCHITECTURES WITH PYTHON

A Review Of hands-on deep learning architectures with python

The subsampling layer performs the down sampled Procedure on the enter maps. This is often generally known as the pooling layer. In this particular layer, the quantity of enter and output attribute maps does not transform. As an example, if you can find NIn apply, I have discovered the DenseNet-primarily based models rather slow to coach but with o

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