Optimizing the number of neurons

Let's now move on to tuning the number of neurons in each of these layers. Since we are following the same steps as the preceding sections, we will go through all these steps and do a recap with the code snippet at the end. So, let's get started with the following steps:

1. We will start by copying the code from the cell used in the Finding the optimal hyperparameters section, and paste it in a new cell. In this new cell, we will play around with the number of neurons by modifying some of the variables.
2. We will convert the total number of neurons present in each hidden layer into variables, such as neuron1 and neuron2. We will also define these variables in the create_model() function, so that they are called every time we execute it.
3. We will also change the kernel_initializer and activation values to tanh and normal, since those were the...