Deep Learning, Machine Learning, Artificail Intelligence, Neural Networks, Activation Functions.
values_of_sigmoid.append(sigmoid(i)) plt.plot( values_of_x ,values_of_sigmoid) plt.xlabel("values of x") plt.ylabel("value of sigmoid") 2. tanH function This function is very similar to the sigmoid activation function. The function takes any real value as input and outputs values in the range -1 to