update on week 41
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@@ -1654,6 +1654,19 @@ plot_data(eta,n_neuron,Test_accuracy, 'testing')
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!ec
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!split
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===== The Mathematics of Neural Networks =====
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Text will be added here, see handwritten notes for Friday October 15. They contain a discussion on
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o Activation functions and vanishing gradients
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o Brief summary of gradient methods
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o Approximation theorems, in particular the *universal approximation theorem* for neural networks by Cybenko and Hornik
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I strongly recommend Michael Nielsen's intuitive approach to the neural networks and the universal approximation theorem, see the slides at URL:"http://neuralnetworksanddeeplearning.com/chap4.html".
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!split
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===== Fine-tuning neural network hyperparameters =====
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