Machine Learning Sources

Keras:

Tensorflow:
https://github.com/tensorflow/tensorflow
https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html


Udacity Course:
Intro to Machine Learning: https://www.youtube.com/watch?v=ICKBWIkfeJ8&list=PLAwxTw4SYaPkQXg8TkVdIvYv4HfLG7SiH

Youtube:
Siraj Raval: https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A


Books:
Hands-On Machine Learning with Scikit-Learn and TensorFlow:
Exercises: https://github.com/ageron/handson-ml

https://anvaka.github.io/greview/hands-on-ml/1/

https://towardsdatascience.com/hands-on-machine-learning-example-real-time-object-detection-with-yolo-v2-ebdd8441c12a

If you dont have a GPU to train your Network, you can either use Colab or Kaggle.

Kaggle: https://www.kaggle.com/anthonyalford/learning-about-notebooks
https://www.kaggle.com/general/16970
https://www.kaggle.com/kernels

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