ANN Gr12

Every Artificial Neural must have at least ______

• ONe layer

• Twi layers

• Three layers

• Four layers

is a series of algorithms that aims to understand

the relationships in a set of data using a

process inspired by the human brain

• Cryptography

• K-nearest value

• Artificial neural network

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

• Sigmoid function

• Transfer function

• Activation function

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

layers and coming out through the output layer once.

• Session

• Epoch

• Step

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

import this module/library.

• Numpy

• Math

• Lib

The attributes of the class neuron in python :

• inputs , outputs

• weights, bias

• weights,inputs

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

function like this:

• X=numpy.array([1,3])

• X=numpy[1,3]

• X=array([1,3])

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.

• Backward propagation

• Feedforward

• current neural network

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

• Forward propagation

• Backward propagation

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,

• Learning rate

• Optimisation

• Calculate weight