Python Deep Learning Projects

Defining the performance plot

The following performance_plot function plots the performance of the model over time. This function has been placed such that it is only plotted once our target of 200 points has been reached. You can also place this function to plot the progress after every 100 episodes during training:

def performance_plot(scores, target_score):    """Plot the game progress."""    scores_arr = np.array(scores) # convert list to array    scores_arr[np.where(scores_arr > target_score)] = target_score # scores    plt.figure(figsize=(20, 5)) # set figure size to 20 by 5    plt.title('Plot of Score v/s Episode') # title    plt.xlabel('Episodes') # xlabel    plt.ylabel('Scores') # ylabel    plt.plot(scores_arr)    plt.show()

A sample plot output of the function ...