Detailed Course Information |
Spring 2022
Apr 18, 2024 |
|
 |
||
| Select the desired Level or Schedule Type to find available classes for the course. |
| CSCI 1470 - Deep Learning |
|
What is deep learning? How is it related to machine learning? How is it applied to perform tasks like classifying images or translating languages? Deep Learning belongs to a broader family of machine learning methods. Deep learning-based methods (e.g., convolutional neural networks, recurrent neural networks, autoencoders) have led to rapid improvements in applications like computer vision, natural language processing, robotics, and even genomics and health. In this course, you will get an overview of the prominent techniques of deep learning and their applications. This course is designed to help you understand the underlying concepts as well as the promise and pitfalls of deep learning. It also aims at providing hands-on practice of implementing and applying deep learning methods in Python.
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours 0.000 Lab hours Levels: Graduate, Undergraduate Schedule Types: Discussion Section/Conference, 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) |
| Return to Previous | New Search |
|