Hello nets!

You're going to build a simple neural network to get a feeling of how quickly it is to accomplish this in Keras.

You will build a network that takes two numbers as an input, passes them through a hidden layer of 10 neurons, and finally outputs a single non-constrained number.

A non-constrained output can be obtained by avoiding setting an activation function in the output layer. This is useful for problems like regression, when we want our output to be able to take any non-constrained value.

Import the Sequential model from keras.models and the Denselayer from keras.layers.
Create an instance of the Sequential model.
Add a 10-neuron hidden Dense layer with an input_shape of two neurons.
Add a final 1-neuron output layer and summarize your model with summary().

Exercise

Hello nets!

Instructions