updating week 42
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@@ -21,6 +21,8 @@ DATE: today
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* "Video on Convolutional Neural Networks from MIT":"https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini"
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!eblock
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!split
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===== Using Automatic differentiation =====
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@@ -31,9 +33,15 @@ we will also study the usage of "Autograd":"https://www.youtube.com/watch?v=fRf4
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!split
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===== Solving ODEs with Deep Learning =====
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!bblock
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The Universal Approximation Theorem states that a neural network can
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approximate any function at a single hidden layer along with one input
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and output layer to any given precision.
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!eblock
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!bblock Book on solving differential equations with ML methods
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"An Introduction to Neural Network Methods for Differential Equations":"https://www.springer.com/gp/book/9789401798150", by Yadav and Kumar.
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!eblock
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!split
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