January 2019
Intermediate to advanced
294 pages
6h 43m
English
The convolutional neural network (CNN) has been one of the most important milestones in the area of deep learning. It has got everyone excited and has been the cornerstone for new research, too. But, as they say, Nothing is perfect in this world. Nor is our beloved CNN.
Can you recall how CNNs work? The most important job of a CNN is to execute convolution. What this means is that once you pass an image through CNN, the features, such as edges and color gradients, are extracted from image pixels by the convolution layer. Other layers will combine these features into a more complex one. And on top of it, once the dense layer is kept, it enables the network to carry out the classification ...
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