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12_plot_activations.py
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12_plot_activations.py
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import numpy as np
import matplotlib.pyplot as plt
##### Sigmoid
sigmoid = lambda x: 1 / (1 + np.exp(-x))
x=np.linspace(-10,10,10)
y=np.linspace(-10,10,100)
fig = plt.figure()
plt.plot(y,sigmoid(y),'b', label='linspace(-10,10,100)')
plt.grid(linestyle='--')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.title('Sigmoid Function')
plt.xticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.yticks([-2, -1, 0, 1, 2])
plt.ylim(-2, 2)
plt.xlim(-4, 4)
plt.show()
#plt.savefig('sigmoid.png')
fig = plt.figure()
##### TanH
tanh = lambda x: 2*sigmoid(2*x)-1
x=np.linspace(-10,10,10)
y=np.linspace(-10,10,100)
plt.plot(y,tanh(y),'b', label='linspace(-10,10,100)')
plt.grid(linestyle='--')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.title('TanH Function')
plt.xticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.yticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.ylim(-4, 4)
plt.xlim(-4, 4)
plt.show()
#plt.savefig('tanh.png')
fig = plt.figure()
##### ReLU
relu = lambda x: np.where(x>=0, x, 0)
x=np.linspace(-10,10,10)
y=np.linspace(-10,10,1000)
plt.plot(y,relu(y),'b', label='linspace(-10,10,100)')
plt.grid(linestyle='--')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.title('ReLU')
plt.xticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.yticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.ylim(-4, 4)
plt.xlim(-4, 4)
plt.show()
#plt.savefig('relu.png')
fig = plt.figure()
##### Leaky ReLU
leakyrelu = lambda x: np.where(x>=0, x, 0.1*x)
x=np.linspace(-10,10,10)
y=np.linspace(-10,10,1000)
plt.plot(y,leakyrelu(y),'b', label='linspace(-10,10,100)')
plt.grid(linestyle='--')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.title('Leaky ReLU')
plt.xticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.yticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.ylim(-4, 4)
plt.xlim(-4, 4)
plt.show()
#plt.savefig('lrelu.png')
fig = plt.figure()
##### Binary Step
bstep = lambda x: np.where(x>=0, 1, 0)
x=np.linspace(-10,10,10)
y=np.linspace(-10,10,1000)
plt.plot(y,bstep(y),'b', label='linspace(-10,10,100)')
plt.grid(linestyle='--')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.title('Step Function')
plt.xticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])
plt.yticks([-2, -1, 0, 1, 2])
plt.ylim(-2, 2)
plt.xlim(-4, 4)
plt.show()
#plt.savefig('step.png')
print('done')