October 2018
Intermediate to advanced
134 pages
2h 39m
English
Now, we will move on to building and training the neural network. To do so, let's import some specific layers from Keras. Then, we will define a create_model() function to build the Keras model, and define the model type as Sequential. After this, we will define an input layer, a hidden layer and an output layer, compile the model, and finally print the model:

As we see in the preceding screenshot, we have our model summary. We have 112 parameters for the first layer, 36 for the second, and 25 for the third layer. We have a total of 173 parameters. These are all trainable data for our neural network, which is what ...
Read now
Unlock full access