Unit 2-P1 Components of Neural Network

A Technical Neural network consists of simple processing units, the ____________, and directed, weighted connections between those neurons.

• neurons

• axon

• weight

• nodes

This matrix representation is also called __________diagram.

• Layer

• Hinton

• Weighted

• Vecotr

The _______ function decides whether a neuron should be activated or not.

• input

• output

• activation

• propagation

The _______ function decides whether a neuron should be activated or not.

• input

• output

• activation

• propagation

Activation function

• 
• 
• 
• 

Fermi function or logistic function maps the values in the range_______.

• (-1,1)

• (1,0)

• (1,-1)

• (0,1)

The common activation function is hyperbolic tangent which maps to ________.

• (-1,1)

• (1,0)

• (1,-1)

• (0,1)

The learning strategy is ________ that can be used to change and thereby train the neural network, so that the network produces a desired output for a given input.

• an algorithm

• a program

• a function

• a weight

The numeric ___ marks a non-existing connection between neurons.

• 0

• 1

• -1

• 2

The next time step denoted as ________.

• (t+ 1)

• (t- 1)

• (t)

• (t+11)