Saving and loading models

Now that we have trained the model, we need to save and load it. Let's get started:

1. We will start by saving the model:

In[31]: model.save('myfirstmodel.h5')\

2. Next, we will import the model:

In[32]: from keras.models import load_model
In[33]: newmodel = tf.keras.models.load_model('myfirstmodel.h5')

3. Finally, we will predict the imported model:

In[34]: test_predictions = model.predict(normed_test_data).flatten()

With that, you have implemented your first deep learning model!