40719 Deep LearningHamid Beigy, Sharif University of Technology, Fall 2021.
Course DescriptionThe course helps to understand the fundamentals of Deep Learning. The course starts off gradually with multilayer preceptrons and it progresses into the more complicated concepts such as attention and sequencetosequence models. This course also covers other models of deep learning such as convolutional neural networks, recurrent neural networks, deep generative models such as autoregressive, GAN, VAE, NFM, representation learning, and deep reinforcement learning methods. We use frameworks such as PyTorch and Tensorflow, which are very important for implementing deep Learning models. Course Information
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