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About Syllabus (Last Modified 20-01-29 - 20-17)
This document provides an introduction and overview for a course on Neural Networks and Deep Learning taught by Professor Jonathan Kao at UCLA. It outlines the course information including lectures, assignments, exams, prerequisites, and grading policy. The course will cover topics such as machine learning, neural networks, convolutional neural networks, recurrent neural networks, and generative models. Students will complete homework assignments, a midterm exam, and final project. Academic integrity is strongly enforced.
Detailed Information
| Author: | ['Gajan Nagaraj'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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