NCA-GENL - Core Machine Learning and AI Knowledge - Section 1.1

Understand fundamental techniques and tools for training deep learning models.

Describe the core components of a deep learning training pipeline, including forward and backward passes, loss functions, and gradient descent optimisers. Recognise how choices such as learning rate, batch size, and regularisation affect convergence and generalisation.

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