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## Additional materials
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* [general ](https://pcc.cs.byu.edu/2017/10/02/practical-advice-for-building-deep-neural-networks/)tips on NN
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* [training ](https://karpathy.github.io/2019/04/25/recipe/)NN
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* [backprop ](https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b)post
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* NN for [any ](http://neuralnetworksanddeeplearning.com/chap4.html)function: how it works
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* post on [fine ](http://neuralnetworksanddeeplearning.com/chap3.html)tuning
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* post on [ADAM](https://towardsdatascience.com/adam-latest-trends-in-deep-learning-optimization-6be9a291375c)
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* [Neural network](http://neuralnetworksanddeeplearning.com/chap1.html#perceptrons)s: handwritten letters (a classic example)
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* [linear regression](https://towardsdatascience.com/a-line-by-line-laymans-guide-to-linear-regression-using-tensorflow-3c0392aa9e1f) with TF
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* TF [classification](https://stackabuse.com/tensorflow-2-0-solving-classification-and-regression-problems/)
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* [cross entropy ](http://neuralnetworksanddeeplearning.com/chap3.html#the_cross-entropy_cost_function)(NN)
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* [activation ](https://stats.stackexchange.com/questions/115258/comprehensive-list-of-activation-functions-in-neural-networks-with-pros-cons)functions
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* [bias ](https://stackoverflow.com/questions/2480650/what-is-the-role-of-the-bias-in-neural-networks/2499936#2499936)in NN
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* [bias ](http://makeyourownneuralnetwork.blogspot.com/2016/06/bias-nodes-in-neural-networks.html)post \
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\
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Additional lecture notes if you do not have access to a ML book and would like to check out for more:\
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\
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[Deep learning](http://cs229.stanford.edu/notes2020spring/cs229-notes-deep_learning.pdf)\
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[Error analysis](http://cs229.stanford.edu/notes2020spring/bias-variance-error-analysis.pdf)\
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[Learning](http://cs229.stanford.edu/notes2020spring/cs229-notes4.pdf)\
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[Regularization](http://cs229.stanford.edu/notes2020spring/cs229-notes5.pdf)\
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[Perceptron](http://cs229.stanford.edu/notes2020spring/cs229-notes6.pdf)\
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[Optimization](https://ocw.mit.edu/courses/mathematics/18-657-mathematics-of-machine-learning-fall-2015/lecture-notes/MIT18_657F15_L14.pdf)\
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[Regularization](https://www.deeplearningbook.org/contents/regularization.html) |
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