ITS 53000 - Practical Deep Learning

Credit Hours: 3.00. This course covers the theory and technologies related to deep learning. In particular, the course focuses on the following topics: neural networks and hidden layers; issues with designing deep neural networks; convolutional neural networks (CNNs); recurrent neural networks (RNNs); generative adversarial networks (GANs); batch optimization; word embeddings; and other special topics. Graduate, professional or senior status required. Typically offered Fall Spring.

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