m2dsupsdlclass/lectures-labs
Lecture slides and Jupyter notebooks for a Master Year 2 Deep Learning course at Institut Polytechnique de Paris.
Not currently ranked — collecting fresh signals.
star history
This repository contains educational materials for a graduate-level deep learning course, including lecture slides and hands-on lab notebooks. The curriculum covers foundational topics such as backpropagation, embeddings, and convolutional networks, as well as advanced subjects including sequence-to-sequence models, attention mechanisms, unsupervised learning, and generative models.
Frequently asked
- What is m2dsupsdlclass/lectures-labs?
- Lecture slides and Jupyter notebooks for a Master Year 2 Deep Learning course at Institut Polytechnique de Paris.
- Is lectures-labs open source?
- Yes — m2dsupsdlclass/lectures-labs is open source, released under the MIT license.
- What language is lectures-labs written in?
- m2dsupsdlclass/lectures-labs is primarily written in Jupyter Notebook.
- How popular is lectures-labs?
- m2dsupsdlclass/lectures-labs has 1.5k stars on GitHub.
- Where can I find lectures-labs?
- m2dsupsdlclass/lectures-labs is on GitHub at https://github.com/m2dsupsdlclass/lectures-labs.