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* Added self to contributors list * Added information to ML * Added Libraries to ML
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2. [Deep Learning](#2--deep-learning) | ||
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- [Where to Start in DL?](#21-where-to-start-in-dl) | ||
- [Online Courses](#2.2-online-courses) | ||
- [Research Paper](#2.3-research-paper) | ||
- [Online Courses](#21-where-to-start-in-dl) | ||
- [Research Paper](https://arxiv.org/list/stat.ML/recent) | ||
- [Top Github Repositories](#2.4-top-github-repositories) | ||
- [Deep Learning by Google](https://br.udacity.com/course/deep-learning--ud730) - free course | ||
- [Colah's Blog on Deep Learning](http://colah.github.io/) | ||
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8. [Online Mathematical Resources](#8-maths-online-resources) | ||
- [Create staright line by slope and y-intercept](https://www.desmos.com/calculator/5kn5x8f7zk) | ||
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9. [Frameworks](#9-frameworks) | ||
-[Tensorflow](https://tensorflow.org) | ||
-[Caffe](http://caffe.berkeleyvision.org/) | ||
-[Caffe2](https://caffe2.ai/) | ||
-[Torch](http://torch.ch/) | ||
-[Pytorch](https://pytorch.org/) | ||
-[Keras](https://keras.io/) | ||
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--- | ||
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# 1. **Machine Learning** | ||
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- [[email protected]](http://course.fast.ai/start.html) | ||
- [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) | ||
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2) | ||
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# 3. **DataSets** | ||
***Beginners*** | ||
- [MNIST Dataset for Digit Recogniser](http://yann.lecun.com/exdb/mnist/) | ||
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