jorgemunozl/deepLearning_lectures
A educational set of notebooks on Deep Learning
This project offers a set of educational notebooks that help you understand deep learning, from foundational concepts to advanced architectures like Vision Transformers and Large Language Models. You get step-by-step explanations with code, math, and visualizations, using raw PyTorch. This is for students, researchers, or practitioners who want to build a deep understanding of how modern AI models work.
Use this if you want to learn the underlying mechanics of deep learning models like Vision Transformers and Large Language Models through practical, code-driven examples.
Not ideal if you're looking for a high-level library to quickly apply pre-built deep learning models without understanding their internal workings.
Stars
8
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 14, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jorgemunozl/deepLearning_lectures"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PaddlePaddle/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice...
fastai/fastai
The fastai deep learning library
openvinotoolkit/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
PaddlePaddle/docs
Documentations for PaddlePaddle
msuzen/bristol
Parallel random matrix tools and complexity for deep learning