josephmisiti/awesome-machine-learning
1
1
Fork 0
mirror of https://github.com/josephmisiti/awesome-machine-learning.git synced 2025-01-05 08:26:29 +03:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #285 from deetruong89/patch-1

Browse Source 
Update README.md
This commit is contained in:
Joseph Misiti 2016-06-01 02:53:57 -04:00
commit b1ddf8c45b
1 changed files with 9 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
README.md
View File

@ -104,6 +104,8 @@ For a list of free machine learning books available for download, go [here](http
- [General-Purpose Machine Learning](#scala-general-purpose) - [General-Purpose Machine Learning](#scala-general-purpose)
- [Swift](#swift) - [Swift](#swift)
- [General-Purpose Machine Learning](#swift-general-purpose) - [General-Purpose Machine Learning](#swift-general-purpose)
- [TensorFlow](#tensor)
- [General-Purpose Machine Learning](#tensor-general-purpose)
- [Credits](#credits) - [Credits](#credits)
<!-- /MarkdownTOC --> <!-- /MarkdownTOC -->
@ -1121,6 +1123,13 @@ on MNIST digits[DEEP LEARNING]
It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems. It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.
* [AIToolbox](https://github.com/KevinCoble/AIToolbox) - A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians. * [AIToolbox](https://github.com/KevinCoble/AIToolbox) - A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
<a name="tensor" />
## TensorFlow
<a name="tensor-general-purpose" />
#### General-Purpose Machine Learning
* [Awesome TensorFlow](https://github.com/jtoy/awesome-tensorflow) - A list of all things related to TensorFlow
<a name="credits" /> <a name="credits" />
## Credits ## Credits