Neural Networks and Deep Learning
EC ENGR XLC C247
This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program. It is available only to students pre-approved by HSSEAS. See below for more information.
Online
Starting at $4,300.00
As few as 10 weeks
3.3
About this course:
ECE C247 Neural Networks and Deep Learning (Instructor: J. Kao) Lecture, four hours; discussion, two hours; outside study, six hours. Requisites: courses 131A, 133A or 205A, and M146, or equivalent. Review of machine learning concepts; maximum likelihood; supervised classification; neural network architectures; backpropagation; regularization for training neural networks; optimization for training neural networks; convolutional neural networks; practical CNN architectures; deep learning libraries in Python; recurrent neural networks, backpropagation through time, long short-term memory and gated recurrent units; variational autoencoders; generative adversarial networks; adversarial examples and training. Concurrently scheduled with course C147. Letter grading.Winter 2021 Schedule
Available Format(s):
These courses are fully online and have no regular meeting times.
Available
-
This section has no set meeting times.
378932
Fee:
$4,300.00
Still accepting enrollments
Refund Deadline
No refunds after December 28, 2020
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