Forward Pass
The process of passing input through the network to generate predictions during training or inference.
Related Concepts
- Inference: Explore how Inference relates to Forward Pass
- Backpropagation: Explore how Backpropagation relates to Forward Pass
- Training: Explore how Training relates to Forward Pass
Why It Matters
Understanding Forward Pass is crucial for anyone working with technical terms. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Backpropagation
The algorithm for computing gradients of the loss with respect to network weights, enabling training through gradient descent.
Inference
Using a trained model to make predictions on new data, the deployment phase after training is complete.
Training
The process of teaching a machine learning model by adjusting its parameters based on data to minimize prediction errors.