Learn · MIT OpenCourseWare

A banana, a potted plant, and an empty glass flask, each inside white frames labeled accordingly, on a beige background.

Course15.773 / 15.77711 lectures

Hands-On Deep Learning

Prof. Rama Ramakrishnan · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

This is a fast-paced introduction to deep learning with an emphasis on developing a practical understanding of how to build models to solve complex problems involving unstructured data. Topics include the basics of deep neural networks and how to set up and train them, convolutional networks to process images and videos, transformers for natural language processing, generative large language models (such as ChatGPT), and text-to-image models (such as Midjourney). Prior familiarity with Python and fundamental machine learning concepts (such as training/validation/testing, overfitting/underfitting, and regularization) is required.

Lectures

Lecture Videos

  1. 1: Introduction to Neural Networks and Deep Learning; Training Deep NNs Video
  2. 2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data Video
  3. 3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch Video
  4. 4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace Video
  5. 5: Deep Learning for Natural Language – The Basics Video
  6. 6: Deep Learning for Natural Language – Embeddings Video
  7. 7: Deep Learning for Natural Language – Transformers Video
  8. 8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning Video
  9. 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) Video
  10. 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning Video
  11. 11: Generative AI – Text-to-Image Models Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Sloan School of Management
Teacher
Prof. Rama Ramakrishnan
Term
Spring 2024
Level
Graduate
Language
English
Subjects
Computer science, Engineering, Business and management
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Rama Ramakrishnan. Hands-On Deep Learning. Spring 2024. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
Who can watch
MIT OpenCourseWare gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed