What are the Types of Neural Networks?

Perceptrons

Perceptrons are the simplest type of neural network. They can only perform a single operation, but they can be combined to form more complex networks.

Feedforward Neural Network

The feedforward neural network has an input layer, hidden layers, & an output layer. Data flows through the network in one direction, from the input to the output layers

Convolutional Neural Network (CNN)

CNNs are used for image & video processing tasks. CNNs use layers of networks that apply filters to input data, enabling them to capture local patterns and features

Recurrent Neural Network (RNN)

RNNs process sequential data by introducing loops in the network. This helps maintain internal memory effectively for speech recognition & natural language processing

Long Short-Term Memory (LSTM) Network

LSTMs use memory cells & gates to retain or forget information over time selectively, well-suited for tasks involving long sequences

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