# Introduction to Deep Learning

## ECSE-6850

Deep learning fundamentals and applications in artificial intelligence. Topics include machine learning foundation, linear regression and classification, deep neural networks, convolutional neural networks, recurrent neural networks, generative adversary neural networks, Bayesian neural networks, deep Boltzmann machine, deep Bayesian networks, and deep reinforcement learning.

3 credits
Cross-listed with:
ECSE-4850 Introduction to Deep Learning
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2023 | Intro To Deep Learning (3c) Qiang Ji Seats Taken: 16/30 |  |
2022 | Intro To Deep Learning (3c) Qiang Ji Seats Taken: 23/30 |  |
2021 | Intro To Deep Learning (3c) Qiang Ji Seats Taken: 16/30 |  |
2020 | Intro To Deep Learning (3c) Qiang Ji Seats Taken: 25/30 |  |
2019 | Intro To Deep Learning (3c) Qiang Ji Seats Taken: 27/40 |  |
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