Factored Representations: Planning Efficiency

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Explores neural networks' ability to learn features and make linear predictions, emphasizing the importance of data quantity for effective performance.

Deep Learning: Data Representations and Neural Networks

Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.

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Explores decision models in neuronal dynamics of cognition, covering competitive dynamics, perceptual decision making, and the theory of decision dynamics.

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Explores data representations, histograms, neural networks, and deep learning concepts.

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Explores the basics of neural networks, with a focus on deep neural networks and their architecture and training.

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