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Forward Pass
The process of passing input through the network to generate predictions during training or inference.
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- 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.
- 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.
- Forward Pass · you are here ✓ understood
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Neural Networks Backward Pass The process of computing gradients by propagating error signals backward through the network during training. Training Backpropagation The algorithm for computing gradients of the loss with respect to network weights, enabling training through gradient descent. Shipping AI Inference Running a trained model on new inputs to get predictions, with its weights frozen: the stage of a model's life that users actually interact with. Neural Networks Layer A collection of neurons/operations that process data together, neural networks are composed of stacked layers. Neural Networks Activation Function A non-linear function applied to neuron outputs that introduces non-linearity, enabling networks to learn complex patterns.