Neural network in Artificial Intelligence is a series of computations to recognize the underlying patterns in the data. The neural network in AI is developed based on how the neural network of the human brain. The neural network contains multiple layers divided into three categories such as input layer, hidden layer, and output layer. Data will be passed to the input layer, computations occur in hidden layers and get the result in output layers. Neural networks are mainly used for regression analysis, classification, time series prediction, pattern and sequence recognition, filtering, etc.
If you want to build neural networks from scratch, you can take up this Artificial Intelligence course by Intellipaat.
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