Course Repository CM0091 Artificial Intelligence at Universidad EAFIT
| INSTRUCTOR | Juan David Martínez Vargas (jdmartinev@eafit.edu.co) |
|---|---|
| LECTURES | Tuesday 7:30 – 9:00 33-203, Thursday 7:30 - 9:00 33-202 |
| MATERIAL | repo |
Sketchnote by Tomomi Imura
- Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch.
- Neural Architectures for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art.
- State of the art Generative AI applications.
| Event | Topic | Material | Starting Date | Final Date |
|---|---|---|---|---|
| Assignment 1 (20%) | Fully Connected Nets and Backpropagation | Week 05 | Week 08 | |
| Assignment 2 (20%) | Application of Computer Vision | Week 08 | Week 10 | |
| Assignment 3 (20%) | Application of Transformers and NLP | Week 10 | Week 12 | |
| Assignment 4 (20%) | Application of GenAI | Week 14 | Week 16 | |
| Final Project (20%) | AI Applications | Week 12 | Week 18 |
- Lecture01.pdf — Introduction to AI, DL and ML
- Lecture01b.pdf — Linear Algebra for DL
- Homework:
- Review the Pytorch in one our blog
- Review the pytorch basics notebook
- Review the broadcasting notebook
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Computational resources: I strongly recommend creating (free) accounts on the following platforms:
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Deep Learning books:
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Artificial Intelligence Books:
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Large Language Models:
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Online courses: