Deep Learning(CS7015): Lec 6.1 Eigenvalues and Eigenvectors
lec06mod01.
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Deep Learning(CS7015): Lec 1.6 The Curious Case of Sequences
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Deep Learning(CS7015): Lec 12.6 Optimization over images
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Deep Learning(CS7015): Lec 5.6 Stochastic And Mini-Batch Gradient Descent
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Deep Learning(CS7015): Lec 6.3 Eigenvalue Decompositon
lec06mod03.
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Deep Learning(CS7015): Lec 3.5 Representation Power of Multilayer Network of Sigmoid Neurons
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Deep Learning(CS7015): Lec 12.1 Visualizing patches which maximally activate a neuron
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Deep Learning(CS7015): Lec 12.8 Deep Dream
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Deep Learning(CS7015): Lec 6.2 Linear Algebra : Basic Definitions
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Deep Learning(CS7015): Lec 5.9 Gradient Descent with Adaptive Learning Rate
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Deep Learning(CS7015): Lec 11.2 Relation between input size, output size and filter size
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Deep Learning(CS7015): Lec 7.6 Contractive Autoencoders
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Deep Learning(CS7015): Lec 2.6 Proof of Convergence of Perceptron Learning Algorithm
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Deep Learning(CS7015): Lec 6.4 Principal Component Analysis and its Interpretations
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Deep Learning(CS7015): Lec 6.6 (Part-2) PCA : Interpretation 3 (Contd.)
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Deep Learning Part - II (CS7015): Lec 20.3 Variational Autoencoders: The Graphical model perspective
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Deep Learning(CS7015): Lec 2.8 Representation Power of a Network of Perceptrons
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Deep Learning(CS7015): Lec 8.2 Train error vs Test error
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