you’re best off using NumPy’s “broadcasting” functions—ways to execute operations across a whole array, or a slice, without looping in Python. Again, this is so all the performance ...

If you want to perform transformations on NumPy matrixes that aren’t available in NumPy’s API, a typical approach is to just iterate over the matrix in Python … and lose all the performance ...

With Python and NumPy ... function. The tanh function forces all hidden node values to be between -1.0 and +1.0. A common alternative activation function is the logistic sigmoid function. The output ...

Moreover, being an Object-oriented programming (OOP) language, Python lends itself particularly well to efficient data use and manipulation ... that it takes all of NumPy’s functions and ...