In AI, Artificial Neural Network is loosely inspired by a biological neural network of the human brain. Artificial Neural Network consists of multiple nodes similar to neurons of the human brain. These nodes take the data and perform operations and will send results to nodes of the next level. These results are called activation and the link between nodes is assigned with weights. The layers that take input are Input layers, the middle layers where operations occur are hidden layers, and the last layer is the output layer where we get the output.
You can learn to train the Artificial Neural Network and tuning parameters of ANN from this AI course by Intellipaat.