NCA-GENM - Core Machine Learning and AI Knowledge - Section 2.1

Understand fundamental techniques for training deep learning models.

Define the role of loss functions, backpropagation, and gradient descent in iteratively updating neural network weights. Recognise common training pitfalls such as overfitting, vanishing gradients, and the use of regularisation to address them.

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