A system that acts like humans is not an AI system as it might generate wrong output.

The output of neurons can be represented as a linear model

Deep learning is part of AI

Artificial neuron and human neuron work the same.

Natural grouping of Ryerson university student

A neuron only takes one input and generates one output

All the above statements are valid

The larger the inputs are the better the learning process will be

A mathematical model inspired by the structure and function of the brain

The layer that receives the input data and passes it to the next layer

The gradient finds the new weights only based on the existing weights

To introduce non-linearity into the network

To minimize the difference between the predicted and actual values on the training set

Gradient Descent

Classification

The process of updating the weights in the network during training

Clustering

Propagate the errors from the output back into the network