Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras by Will Ballard

Author:Will Ballard [Ballard, Will]
Language: eng
Format: epub
Tags: COM018000 - COMPUTERS / Data Processing, COM044000 - COMPUTERS / Neural Networks, COM004000 - COMPUTERS / Intelligence (AI) and Semantics
Publisher: Packt Publishing
Published: 2018-07-30T23:00:00+00:00

Functional model of Keras

We start with an input layer that's shaped in the same way as one of our input samples. In our case, we have picked one of our training images, which we know from our prior lesson has the dimensions of 28x28 pixels. Now, we pass this through a stack. A dense layer is followed by dropout_1, followed by a dense layer followed by dropout_2, which we ultimately turn into softmax activation to turn it over to the output layer. Then, we combine these together as inputs and outputs into our model. Then, we print summary, which will look like this:

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