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15.773 | Spring 2024 | Graduate

# Hands-on Deep Learning

#### Lecture Videos

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

pdf
4 MB
15.773 (S24): Lecture 01: Introduction to Neural Networks and Deep Learning
pdf
1 MB
15.773 (S24): Lecture 02: Training Deep Neural Networks
pdf
949 kB
15.773 (S24): Lecture 03A: Lightning Introduction to Keras/TF; Training a DL Model for a Structured Data Problem
pdf
1 MB
15.773 (S24): Lecture 03B: Deep Learning for Computer Vision – The Basics
pdf
3 MB
15.773 (S24): Lecture 04: Deep Learning for Computer Vision – Convolutional Neural Networks and Transfer Learning
pdf
1 MB
15.773 (S24): Lecture 05: Text Vectorization and the Bag-of-Words Model
pdf
1 MB
15.773 (S24): Lecture 06: Embeddings
pdf
2 MB
15.773 (S24): Lecture 07: Transformers I
pdf
5 MB
15.773 (S24): Lecture 08: Transformers II
pdf
2 MB
15.773 (S24): Lecture 09: Large Language Models I
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## 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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