Forward Propagation, also known as a forward pass, is a process in neural networks where input data is fed through the network in a forward direction to generate an output.

• Neural Networks
• Deep Learning Algorithms
• Pattern Recognition
• Predictive Modeling
• Speech Recognition Systems
• Image Processing and Computer Vision
• Autonomous Vehicle Systems
• Natural Language Processing

Consider a simple neural network with one input layer, one hidden layer, and one output layer. When we feed the input data into the network, it processes the data through the layers and produces an output. For example, if the input data is a picture of a cat, the forward propagation process will generate an output representing the predicted classification of the cat (e.g., ‘dog’ or ‘cat’).

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