machinelearningnanodegree / stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
☆258Updated 8 years ago
Alternatives and similar repositories for stanford-cs231:
Users that are interested in stanford-cs231 are comparing it to the libraries listed below
- Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"☆117Updated 11 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- project solutions to Udacity's Machine Learning Nanodegree☆22Updated 8 years ago
- This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"☆395Updated 7 years ago
- ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ …☆1,482Updated 5 years ago
- This is the companion curriculum to my guide to becoming a data scientist.☆400Updated 10 months ago
- Udacity's Machine Learning Nanodegree project files and notes.☆253Updated 8 years ago
- A Wiki containing helpful information for new and existing students of the Machine Learning Nanodegree at Udacity. Written by students of…☆221Updated 7 years ago
- Notebook to download machine learning flashcards☆456Updated 4 years ago
- This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube☆99Updated 7 years ago
- Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.☆95Updated 7 years ago
- Projects for my Udacity Data Analyst Nanodegree☆101Updated 4 years ago
- This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube☆121Updated 6 years ago
- Machine Learning Tutorials in Python☆193Updated 4 years ago
- Projects for Udacity's Machine Learning Engineer Nanodegree☆31Updated 8 years ago
- ☆213Updated 3 years ago
- This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube☆155Updated 5 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube☆122Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Deep Learning Study Group☆320Updated 4 years ago
- Machine Learning with Text in scikit-learn☆444Updated 3 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.☆241Updated 2 years ago
- This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube☆188Updated 6 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆432Updated 3 years ago
- These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube☆246Updated 4 years ago
- This is the code for "How to Do Freelance AI Programming" By Siraj Raval on Youtube☆251Updated 6 years ago
- This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube☆93Updated 7 years ago