Lecture

Neural Network Training

In course

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Description

This lecture covers the training process of a neural network, including feedforward and cost function implementation, gradient checking, learning parameters using fmincg, and visualizing hidden layers. It also discusses the impact of regularization and training settings on network performance.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_s7qklun3

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems

Information engineering

Machine learning: Artificial neural networks

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