Git-Mirrors/tensorflow-for-deep-learning-py
1
0
Fork 0
mirror of https://github.com/autistic-symposium/tensorflow-for-deep-learning-py.git synced 2025-05-12 11:42:14 -04:00
Code Issues Projects Releases Packages Wiki Activity

👾 Add some machine learning experiments

Browse source
This commit is contained in:
Mia Steinkirch 2019-10-27 15:05:11 -07:00
parent cab89257dd
commit 729da96322
60 changed files with 39649 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

33
machine_learning_examples/README.md Normal file
View file

@ -0,0 +1,33 @@
# Resources for Machine Learning & Deep Learning
* [Tensorflow examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/TensorFlow): examples in TF.
* [Caffe examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Caffe): examples in Caffe.
* [DeepArt examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Numpy): deep learning generated art.
* [ML Notebooks](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Notebooks): jupyter notebooks with ML examples.
* [Numpy examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Numpy): some snippets in Numpy.
## Learning Resources
### Introductory Courses
* [Stanford's Machine Learning Course](http://cs229.stanford.edu/)
* [Google's Developer Machine Learning Course](https://developers.google.com/machine-learning)
### Deep Learning
* [A Chart of Neural Networks](http://www.asimovinstitute.org/neural-network-zoo/).
* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
* [The 9 CNN Papers You Need To Know About](https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html).
* [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)
* [DeepBench](https://github.com/baidu-research/DeepBench).
* [Deep Fake source code](https://github.com/deepfakes/faceswap/).
#### Deep Learning Tools
* [Tensorflow plaground](http://playground.tensorflow.org).