resources

Visualization:

	Youtube videos  - good, intuitive, in-depth 
	https://youtu.be/aircAruvnKk
	
	Online e-book
	http://neuralnetworksanddeeplearning.com/
	
	Neural network made by google - Can understand hyper-parameter tuning
	playground.tensorflow.org

Implementation
	
	Implement a 3-layer Neural Network from scratch using only numpy and matplotlib
	Generalize to an N-layer Neural Network
	
	Example: https://github.com/llSourcell/Make_a_neural_network/blob/master/demo.py	

	Implement handwriting recognition using the MNIST dataset
	http://yann.lecun.com/exdb/mnist/
	1 - Use your own neural network (do not use sklearn)

	Learn basics of sklearn from the docs
	https://scikit-image.org/docs/stable/
	https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html (Neural Network Classifier)
	https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html  (Neural Network Regressor)

	2 - Re-implement using sklearn's NN

Genetic Algorithms 
	
	https://lethain.com/genetic-algorithms-cool-name-damn-simple/

	https://github.com/yugrocks/Genetic-Neural-Network

	https://github.com/shahril96/neural-network-with-genetic-algorithm-optimizer