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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.)
This course is using its own waitlist. If the course is full, you can sign up for the waitlist using this form: https://docs.google.com/forms/d/e/1FAIpQLSffeOCnsiVMT0svyjLH2IHcNC_FIQHrKl3C7W_PwG7Cu9aWSw/viewform?usp=sf_link
You can check your position on the waitlist by submitting a request here: https://docs.google.com/forms/d/e/1FAIpQLSesSF50NfPs40rAs9PnSZA92PbdHVdEUObKwvQVzGGIYAdYWg/viewform?usp=sf_link
Note that you must be logged in to your Brown Google account in order to view these links.
IMPORTANT: *The course staff will not reply to emails about the waitlist.* The instructions above tell you all you need to know about getting on it and checking where you are.
1.000 Credit hours
1.000 Lecture hours
Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting
Computer Science Department
(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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