January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Different layers of CNN
CNN consists of three main types of neuron layers: convolution layers, pooling layers, and fully connected layers. Fully connected layers are nothing but layers of MLP, they are always the last few layers of the CNN, and perform the final task of classification or regression. Let's see how the convolution layer and max pooling layers work.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.