In the previous segment, you have build the model using embedding layer, adding 1d convolutional layer and finally adding fully connected layer(dense layer) with mean-squared loss. Now, let’s train it and view the results.
Keras callbacks are really important while training a deep neural network. They provide you with a mechanism to save both computational resources and time. Keras calls each callback function after each epoch is finished. You can create your own callbacks according to your particular needs.
Now that we’ve trained the model let’s look at the performance of the model on the test data.
In the next segment, you’ll look at the summary of the session and how could you have framed the problem in a different way.
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