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15.773 | Spring 2024 | Graduate

# Hands-on Deep Learning

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15.773 (S24): Lecture 01: Introduction to Neural Networks and Deep Learning
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15.773 (S24): Lecture 02: Training Deep Neural Networks
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15.773 (S24): Lecture 03A: Lightning Introduction to Keras/TF; Training a DL Model for a Structured Data Problem
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15.773 (S24): Lecture 03B: Deep Learning for Computer Vision – The Basics
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15.773 (S24): Lecture 04: Deep Learning for Computer Vision – Convolutional Neural Networks and Transfer Learning
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15.773 (S24): Lecture 05: Text Vectorization and the Bag-of-Words Model
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15.773 (S24): Lecture 06: Embeddings
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15.773 (S24): Lecture 07: Transformers I
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15.773 (S24): Lecture 08: Transformers II
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15.773 (S24): Lecture 09: Large Language Models I
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15.773 (S24): Lecture 10: Large Language Models II
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15.773 (S24): Lecture 10.5: Finetuning
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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

- 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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