CIS 731

Artificial Neural Networks

Syracuse University · UGRD · Fall 2026

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Perceptrons and feedforward networks. Backpropagation. Self-organizing feature maps and Boltzmann machines. Deep networks, convolutional networks, recurrent networks, adversarial networks, sparse networks. Attention mechanism, transformers, and generative models. Applications of neural networks.

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Class #syracuse-CIS731Fall 2026UGRD3 credits
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