April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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A model for CNNs - LeNet
Convolutional and max-pooling layers are at the heart of the LeNet family models. It is a family of multilayered feed-forward networks specialized on visual pattern recognition.
While the exact details of the model will vary greatly, the following figure points out the graphical schema of a LeNet network:
LeNet network
In a LeNet model, the lower layers are composed of an alternating convolution and max-pooling, while the last layers are fully-connected and correspond to a traditional feed-forward network (fully-connected + softmax layer).
The input to the first fully-connected layer is the set of all feature maps ...
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