Transfer Function

The 5th installment of our tutorial on implementing a neural network (NN) in Python. By the end of this tutorial, our NN should perform much more efficiently giving good results with fewer iterations. We will do this by implementing “momentum” into our network. We will also put in the other transfer functions for each layer.

Part 4 of our tutorial series on Simple Neural Networks. We’re ready to write our Python script! Having gone through the maths, vectorisation and activation functions, we’re now ready to put it all together and write it up. By the end of this tutorial, you will have a working NN in Python, using only numpy, which can be used to learn the output of logic gates (e.g. XOR)