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CSCI 1470 - Deep Learning |
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. (The primary API for Tensorflow is from Python.)
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Computer Science Department Prerequisites: (Undergraduate level CSCI 0150 Minimum Grade of S or Undergraduate level CSCI 0170 Minimum Grade of S or Undergraduate level CSCI 0190 Minimum Grade of S) and (Undergraduate level CSCI 0530 Minimum Grade of S or Undergraduate level MATH 0520 Minimum Grade of S or Undergraduate level MATH 0540 Minimum Grade of S) and (Undergraduate level CSCI 0220 Minimum Grade of S or Undergraduate level CSCI 1450 Minimum Grade of S or Undergraduate level MATH 1610 Minimum Grade of S or Undergraduate level APMA 1650 Minimum Grade of S or Undergraduate level APMA 1655 Minimum Grade of S) |
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