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Linear Algebra and Differential Eq.
Calculus
ManifoldBasics
Numerical Computation 4
Machine learning Basics 5
Inference
Deep Feedfroward networks 6
Regularization 7
Optimization for Deep-models 8
How Learning Differs From Pure Optimization
Challenges In Neural Network Optimization
Basic Algorithms
Parameter Initialization Strategies
Algorithm With Adaptive Learning Rates
Approximate Second Order Methods
Optimization Strategies And Meta Algorithms
Convolutional Network 9
SpectralClustering
GAN
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Optimization for Deep-models 8
How Learning Differs From Pure Optimization
Challenges In Neural Network Optimization
Basic Algorithms
Parameter Initialization Strategies
Algorithm With Adaptive Learning Rates
Approximate Second Order Methods
Optimization Strategies And Meta Algorithms
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