February 2018
Intermediate to advanced
218 pages
5h 31m
English
Content preview from Practical Convolutional Neural Networks
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Convolutional layer
The main objective of convolution in relation to ConvNet is to extract features from the input image. This layer does most of the computation in a ConvNet. We will not go into the mathematical details of convolution here but will get an understanding of how it works over images.
The ReLU activation function is extremely useful in CNNs.
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