Channel Title: Carnegie Mellon University Deep Learning Channel Description: “Deep Learning” systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from language understanding, and speech and image recognition, to machine translation, planning, and even game playing and autonomous driving. As a result, expertise in deep learning is fast changing from an esoteric desirable to a mandatory prerequisite in many advanced academic settings, and a large advantage in the industrial job market. In this course we will learn about the basics of deep neural networks, and their applications to various AI tasks. By the end of the course, it is expected that students will have significant familiarity with the subject, and be able to apply Deep Learning to a variety of tasks. They will also be positioned to understand much of the current literature on the topic and extend their knowledge through further study. Instructor: Bhiksha Raj <video> Fall 2024 Recitation 14 Description: </video> <video> Fall 2024 Recitation 11 Description: </video> <video> Fall 2024 Lecture 21 Description: </video> <video> S2025 Intro to Deep Learning - Lecture 0 Description: Prepare for the course </video> <video> Fall 2024 Lecture 22 and 23 Description: </video> <video> Fall 2024 HW4 Bootcamp Description: </video> <video> Fall 2024 - HW5 Bootcamp Description: </video> <video> Fall 2024 Lecture 24 Description: </video> <video> Fall 2024 Lecture 20 Description: </video> <video> Fall 2024 Lecture 18 Description: </video> <video> Fall 2024 Lecture 25 Description: </video> <video> Fall 2024 Recitation 12 Description: </video> <video> Fall 2024 Lecture 19 Description: </video> <video> Fall 2024 Lecture 26 Description: </video> <video> Fall 2024 Recitation 13 Description: </video>

Description

“Deep Learning” systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from language understanding, and speech and image recognition, to machine translation, planning, and even game playing and autonomous driving. As a result, expertise in deep learning is fast changing from an esoteric desirable to a mandatory prerequisite in many advanced academic settings, and a large advantage in the industrial job market.

In this course we will learn about the basics of deep neural networks, and their applications to various AI tasks. By the end of the course, it is expected that students will have significant familiarity with the subject, and be able to apply Deep Learning to a variety of tasks. They will also be positioned to understand much of the current literature on the topic and extend their knowledge through further study.

Instructor: Bhiksha Raj

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