Beginning Scientific Computing
Programming Basics
basics & simple programming
supplementary basics
related materials
Linear Algebra
linear systems Ax=b
Ax=b, eigenvalues, eigenvectors
singular value decomposition
Differential Calculus
integration & differentiation
differential eqns
Fast Fourier Transform
Fourier analysis
Data Fitting & Optimization
curve fitting
nonlinear fiting
deep learning
Video Lectures and Supplementary Tutorials
Section 6.1: Basics of Neural Networks
 
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Section 6.2: Neural Networks and Activation Functions
 
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Section 6.5: Deep Convolutional Neural Networks
 
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Section 6.6: Neural Networks for Dynamical Systems
 
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Section 6.7: The Diversity of Neural Networks
 
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