Lecture Notes | Hands-on Deep Learning | Sloan School of Management | MIT OpenCourseWare

Course Info

Instructor

Prof. Rama Ramakrishnan

Departments

Sloan School of Management

As Taught In

Spring 2024

Level

Graduate

Topics

Learning Resource Types

Lecture Videos

Lecture Notes

Programming Assignments

Problem Sets

Problem Set Solutions

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Lecture Notes

Lecture notes and additional files associated with each of the video lectures can be found below.

15.773 (S24): Lecture 01: Introduction to Neural Networks and Deep Learning

15.773 (S24): Lecture 02: Training Deep Neural Networks

15.773 (S24): Lecture 02: Backprop Example

15.773 (S24): Lecture 03A: Lightning Introduction to Keras/TF; Training a DL Model for a Structured Data Problem

15.773 (S24): Lecture 03B: Deep Learning for Computer Vision – The Basics

15.773 (S24): Lecture 04: Deep Learning for Computer Vision – Convolutional Neural Networks and Transfer Learning

15.773 (S24): Lecture 04: Convolution Example (XLSX)

15.773 (S24): Lecture 05: Text Vectorization and the Bag-of-Words Model

15.773 (S24): Lecture 06: Embeddings

15.773 (S24): Lecture 07: Transformers I

15.773 (S24): Lecture 08: Transformers II

15.773 (S24): Lecture 09: Large Language Models I

15.773 (S24): Lecture 10: Large Language Models II

15.773 (S24): Lecture 10.5: Finetuning

15.773 (S24): Lecture 11: Diffusion Models for Image Generation (Gen AI)

Course Info

Instructor

Prof. Rama Ramakrishnan

Departments

Sloan School of Management

As Taught In

Spring 2024

Level

Graduate

Topics

Learning Resource Types

Lecture Videos

Lecture Notes

Programming Assignments

Problem Sets

Problem Set Solutions

Download Course

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