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