import matplotlib.pyplot as plt
%matplotlib inline
def plot_costs(costs, learning_rate=0.0075):
plt.plot(np.squeeze(costs))
plt.ylabel('cost')
plt.xlabel('iterations (per hundreds)')
plt.title("Learning rate =" + str(learning_rate))
plt.show()
#Assuming "costs" is a list of costs obtained during training iterations per hundred
#calling the method with some learning rate
plot_costs(costs, learning_rate)
output:
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