Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
☆80Sep 7, 2017Updated 9 years ago
Alternatives and similar repositories for pydata-annarbor2017-dl-tutorial
Users that are interested in pydata-annarbor2017-dl-tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Machine learning with Python tutorial at MSU Data Science 2018☆109Feb 21, 2018Updated 8 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,826Oct 2, 2020Updated 6 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Jun 27, 2017Updated 9 years ago
- Code material for a data science tutorial☆203Jul 3, 2017Updated 9 years ago
- ☆317Sep 28, 2017Updated 9 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Example of serving a TensorFlow model with Flask and UWSGI☆26Sep 6, 2017Updated 9 years ago
- Tensorflow Implementation of adversarial learning based adversarial example generator☆10Jan 31, 2018Updated 8 years ago
- Implementation of the SAN model for imparting gender privacy to face images☆63Jul 7, 2021Updated 5 years ago
- Low-rank Highway Networks☆13Mar 11, 2016Updated 10 years ago
- Scikit-learn tutorial at SciPy2016☆515Mar 13, 2019Updated 7 years ago
- ☆80Sep 28, 2016Updated 10 years ago
- A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym☆93Nov 19, 2021Updated 4 years ago
- Kaggle competition results