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Course Code: CMPS470
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Credits: 3
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Hours Distribution: (3Crs.:2Lec,3Lab)
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Course Type: Departmental Elective (DE)
Course Description
This course aims to provide the students with a solid understanding of the foundations of deep learning. Students will learn the basics of constructing neural networks and effectively managing machine learning projects. The course will encompass various deep neural networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and Generative Adverserial Networks (GANs). Students will also learn hyperparameter tuning, regularization methods, normalization techniques and initialization methods. Pre-req.: CMPS347.