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- https://dashee87.github.io/data%20science/deep%20learning/visualising-activation-functions-in-neural-networks/
- https://cloud.google.com/blog/big-data/2017/01/learn-tensorflow-and-deep-learning-without-a-phd
- http://theorangeduck.com/page/neural-network-not-working
- http://ruder.io/optimizing-gradient-descent/
- https://learningtensorflow.com/index.html
- https://www.dropbox.com/s/m14iaynhl7coqfa/Introduction%20to%20Deep%20Learning%20with%20TensorFlow.pdf?dl=1
- https://www.dropbox.com/s/zs8iw941t5mkw4n/cs231n_2017_lecture4_selected.pdf?dl=1
- https://www.dropbox.com/s/20o91shh8r6ow9a/Tensorflow%20and%20Deep%20Learning%20-%20Slides_0.pdf?dl=1
- https://github.com/aymericdamien/TensorFlow-Examples/tree/master/notebooks
- https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
- https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471
- https://github.com/ageron/handson-ml/blob/master/01_the_machine_learning_landscape.ipynb
- https://machinelearningmastery.com/start-here/#getstarted
- https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
- https://machinelearning-blog.com
- http://course.fast.ai/
- https://cs224d.stanford.edu/lectures/
- https://uwaterloo.ca/statistics-and-actuarial-science/people-profiles/ali-ghodsi
- https://towardsdatascience.com/linear-algebra-for-deep-learning-f21d7e7d7f23 ** https://docs.google.com/presentation/d/17VUX7YXhMkJrqO5gNGh6EE5gzBpY-BF9IrfVKcFIb3A/edit#slide=id.g27be483e10_0_0 ** https://colab.research.google.com/drive/1achzCaBFBHputcqXrw_o_He5UNjx3hFG#scrollTo=ImjwR5LNPFmp ** https://medium.com/deep-learning-turkey/deep-learning-lab-episode-2-cifar-10-631aea84f11e