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15.773 | Spring 2024 | Graduate

# Hands-on Deep Learning

Student presentations on the final day of class were not recorded.

##### 1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

##### 2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data

##### 3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch

##### 4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

##### 5: Deep Learning for Natural Language – The Basics

##### 6: Deep Learning for Natural Language – Embeddings

##### 7: Deep Learning for Natural Language – Transformers

##### 8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning

##### 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

##### 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning

##### 11: Generative AI – Text-to-Image Models

## Course Info

##### Instructor

- Prof. Rama Ramakrishnan

##### Departments

- Sloan School of Management

##### As Taught In

Spring 2024

##### Level

Graduate

##### Topics

- Business
  - Information Technology
- Engineering
  - Computer Science

##### Learning Resource Types

theaters Lecture Videos
notes Lecture Notes
assignment Programming Assignments
assignment Problem Sets
Problem Set Solutions

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