Artificial Neural Network

Question: What are artificial neural networks? Algorithms mimic biological neural networks. They can adapt to changing input. Helps you redesign output criteria. Example: An artificial…

Structure of Neural Networks

Question: Describe the structure of artificial neural networks? It usually has a lot of inputs, often unlabeled. These are processed with a weighted sum and…

Gradient Descent

Question: Explain gradient descent. Gradient is how much an output changes by input. Measures the change in all weights with regard to change in error.…

Back Propagation

Question: What is the back propagation and how does it work? Training algorithm used for multilayer neural network. Moves the error from an end to…

Variants of Back Propagation

Question: What are the variants of back propagation? Includes stochastic gradient descent, batch gradient descent, and mini-batch gradient descent.  Example: There are three variants, the…