Python Deep Learning Cookbook

How to do it...

1. Let's start with importing the necessary libraries, as follows:

import gymimport randomimport numpy as npimport matplotlib.pyplot as pltfrom collections import dequefrom keras.models import Sequentialfrom keras.optimizers import Adamfrom keras.layers import Dense, Flattenfrom keras.layers.convolutional import Conv2Dfrom keras import backend as K

2. First, we will plot an example input image of the game:

Figure 11.1: Example input image of Breakout by OpenAI

env = gym.make('BreakoutDeterministic-v4')observation = env.reset()for i in range(3):    # The ball is released after 2 frames    if i > 1:        print(observation.shape) plt.imshow(observation) ...