kuleshov / teaching-materialLinks
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
☆1,122Updated 4 years ago
Alternatives and similar repositories for teaching-material
Users that are interested in teaching-material are comparing it to the libraries listed below
Sorting:
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆923Updated 6 years ago
- My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition☆592Updated 6 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆887Updated 7 years ago
- deeplearning.ai , By Andrew Ng, All video link☆648Updated 7 years ago
- After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole cou…☆1,565Updated 5 years ago
- Python coded examples and documentation of machine learning algorithms.☆611Updated 4 years ago
- Convolutional Neural Networks Assignments☆295Updated 9 years ago
- Coursera Machine Learning - Python code☆864Updated 4 years ago
- Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition☆379Updated 3 years ago
- Topics Course on Deep Learning UC Berkeley☆1,302Updated 7 years ago
- cs231n assignments sovled by https://ghli.org☆1,389Updated 2 years ago
- my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition☆209Updated 9 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆259Updated 8 years ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 6 years ago
- Roadmap of DL and ML, some courses, study notes and paper summary☆756Updated 6 years ago
- A collection of deep learning tutorials using Tensorflow and Python☆522Updated 8 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.☆261Updated 6 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- 🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)☆72Updated 7 years ago
- Course notes for CS224N Winter17☆1,591Updated 7 years ago
- Google Cloud tutorial and setup☆496Updated 4 years ago
- The codes I made while I practiced various TensorFlow examples☆615Updated 6 years ago
- ☆456Updated 7 years ago
- Lecture notes and assignments for coursera machine learning class☆95Updated 12 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,056Updated 7 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- 💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)☆610Updated 8 years ago
- Harvard CS109b Public Repository☆234Updated 4 years ago
- ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ …☆1,482Updated 6 years ago