is a series of algorithms that aims to understand

the relationships in a set of data using a

process inspired by the human brain

A mathematical function that determines the output of a node, given the inputs.

This entire journey of the signals, starting at the input layer, going through the hidden

layers and coming out through the output layer once.

Whenever you want to do mathematical computations with arrays, you need to

import this module/library.

The attributes of the class neuron in python :

when you want to create a numpy array, you have to call numpy‟s array

function like this:

A network of Neurons in which input moves forward, starting at the input layer, going

through the hidden layers and coming out through the output layers.

Using the error to modify the weight of the connection between the layers called ...........

This is a measure of how fast the training needs to get completed. A larger training rate

means that the steps towards the minimum error will be large,

Some of the Python libraries available that do this whole work of

training, error calculation and weight adjustment

pip install -U scikit-learn

The line of code is used to:

Using the MLPClassifier that we don‟t need to initialize the weights and biases. These are

automatically and randomly initialized by the network.