Neural Network Projects with Python

Model building

As we mentioned in Chapter 1, Machine Learning and Neural Networks 101, the Sequential() class in Keras allows us to construct a neural network like Lego, stacking layers on top of one another.

Let's create a new Sequential() class:

from keras.models import Sequentialmodel = Sequential()

Next, let's stack our first hidden layer. The first hidden will have 32 nodes, and the input dimensions will be 8 (because there are 8 columns in X_train). Notice that for the very first hidden layer, we need to indicate the input dimensions. Subsequently, Keras will take care of the size compatibility of other hidden layers automatically.

Another point to note is that we have arbitrarily decided on the number of nodes for the first hidden ...