National University 3.0 credits
Prerequisite: CSC 448 An in-depth coverage of neural networks and deep learning focusing on three major types of networks: Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs). A study of foundational principles and techniques behind neural network architectures, including their design, training, and optimization. Application of neural networks and Python libraries to classification, regression, natural language processing, speech recognition and image recognition problems.
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