May 2018
Beginner
490 pages
13h 16m
English
As with the Keras, implementing a layer in TensorFlow is done in a few lines but with TensorBoard. Layer 1 takes x-input, calculates a weight, applies an activation function and sends its output directly to the training node and also to the dropout node. The following graph represents layer 1 and the result of the operations to OUTPUTS (dropout and train):

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