thad75/Tutorial-ELEVE

This repository contains AI Labs given to ENSEA SIA M2 Student and M1 Students. These labs broadly introduce the world of Deep Learning and their applications. I wrote them as a broad introduction to multiple AI Frameworks.

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This collection of labs provides practical, hands-on experience in Deep Learning. It takes you from foundational concepts to advanced real-world applications using industry-standard tools like Python, TensorFlow, and PyTorch. Students and self-learners aspiring to a career in AI or Deep Learning will find these resources invaluable.

No commits in the last 6 months.

Use this if you are an engineering student or self-learner looking for practical exercises to build a strong foundation in Deep Learning.

Not ideal if you are a seasoned AI practitioner looking for advanced research topics or highly specialized domain applications.

AI-education machine-learning-training engineering-curriculum data-science-learning computer-vision-practice
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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9

Forks

2

Language

Jupyter Notebook

License

MIT

Category

deep-learning-textbooks

Last pushed

Feb 10, 2025

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Deep Learning Textbooks · 253 frameworks

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