Feedforward Neural Networks (FNN)

In this section

• Dropout: Regularization Technique in Neural Networks
  Dropout is a regularization technique in neural networks where randomly selected neurons are ignored during training to reduce overfitting.
• Multi-layer Perceptron (MLP): Building Complex Neural Networks
  A Multi-layer Perceptron (MLP) consists of multiple layers of perceptrons, ideal for handling general nonlinear datasets.
• Perceptron: The Simplest Neural Network Architecture
  An in-depth exploration of the Perceptron, the simplest neural network architecture with one layer, typically used for binary classification tasks.