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Feedforward Network

A neural network where information flows in one direction from input to output without cycles.

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2 stops · basics first
  1. Machine Learning ✓ understood

    Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.

  2. Neural Network ✓ understood

    A computational model inspired by biological neural networks, consisting of interconnected nodes (neurons) organized in layers that process information through weighted connections.

  3. Feedforward Network · you are here ✓ understood

A neural network where information flows in one direction from input to output without cycles.

This concept is essential for understanding neural networks & deep learning and forms a key part of modern AI systems.

  • Neural Network
  • Backpropagation
  • Architecture

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Neural Network
Feedforward Network

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Neural Networks Multi-Layer Perceptron A feedforward neural network with multiple layers of perceptrons, capable of learning non-linear functions. Neural Networks Forward Pass The process of passing input through the network to generate predictions during training or inference. Neural Networks Hidden Layer Intermediate layers between input and output that learn hierarchical representations in neural networks. Neural Networks Recurrent Neural Network A neural network architecture with loops that allow information to persist, designed for sequential data like text and time series. Language & LLMs Transformer A neural network architecture, introduced in 2017, built from stacked self-attention and feed-forward layers; the basis of nearly every modern large language model.