with Momentum/ RMS / Adam optimization
Mini-Batch
Shape of the vectors
If the size of our input XX is (12288,209) (with m=209 examples) then:
initialize_parameters_deep
sklearn
Preprocessing
#Sigmoid functions = 1/(1+np.exp(-x))
#Sigmoid gradients = sigmoid(x)ds = s*(1-s)
#Reshaping arraysv =…
Built-in function
#tuplenum1, num2, num3 = numsnums = (num1, num2, num3)