April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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The hidden layers
Any layer that is an intermediary between the input layer and the output layer is called a hidden layer. A typical neural network used in production environments may contain hundreds of input layers. Often, hidden layers contain a greater number of neurons than either the input or the output layer. However, in some special circumstances, this might not hold true. Having a greater number of neurons in the hidden layers is usually done to process the data in a dimension other than the input. This allows the program to reach insights or patterns that may not be visible in the data in the format it is present in when the user feeds it into the network.
The complexity of a neural network is directly dependent on the number of ...
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