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|Meeting Time:||E hr: MWF 12:00-12:50|
|Offered this year?||Yes|
|When Offered?||Every year|
Deep learning is the name for a particular version of neural networks--a version that emphasizes multiple layers of networks. Deep leaning, plus the specialized techniques that it has inspired (e.g. convolutional features and word embeddings) have lead to rapid improvements in many applications such as computer vision, machine translation, and computer Go. This course intends to give students a practical understanding of deep learning as applied in these and other areas. It also teaches the Tensorflow programming language for the expression of deep leaning algorithms. A final project will implement an advanced piece of work in one of these areas.