November 2019
Intermediate to advanced
304 pages
8h 40m
English
Content preview from Java Deep Learning Cookbook
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Image preprocessing and the design of input layers
Normalization is a crucial preprocessing step for a CNN, just like for any feed forward networks. Image data is complex. Each image has several pixels of information. Also, each pixel is a source of information. We need to normalize this pixel value so that the neural network will not overfit/underfit while training. Convolution/subsampling layers also need to be specified while designing input layers for CNN. In this recipe, we will normalize and then design input layers for the CNN.
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