February 2020
Intermediate to advanced
328 pages
8h 19m
English
Content preview from Deep Learning with R Cookbook
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How it works...
To create a model using the functional API, we need to create the input and output layers independently, and then pass them to the keras_model() function in order to define the complete model. In the previous section, we created a model with two different output layers that share an input layer/tensor.
In step 1, we created an input tensor using the layer_input() function, which is an entry point into a computation graph that's been generated by the keras model. In step 2, we defined two different output layers. These output layers have different configurations; that is, activation functions and the number of perceptron units. The input tensor flows through these and produces two different outputs.
In step 3, we defined our ...
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