CSC 726 - Neural Networks

3 credits

This course provides an in-depth look at deep learning architectures, methodologies, and mathematics to help students understand their proper application. Architectures studied include multilayer perceptron, convolutional neural networks, recurrent neural networks, and transformers. Applications for each type of architecture will be discussed, including transfer learning, reinforcement learning, generative and adversarial models, and computer vision.

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CSC 726 - Neural Networks