April 2017
Intermediate to advanced
318 pages
7h 40m
English
Content preview from Deep Learning with Keras
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Deep convolutional neural network — DCNN
A deep convolutional neural network (DCNN) consists of many neural network layers. Two different types of layers, convolutional and pooling, are typically alternated. The depth of each filter increases from left to right in the network. The last stage is typically made of one or more fully connected layers:
There are three key intuitions beyond ConvNets:
- Local receptive fields
- Shared weights
- Pooling
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