Deep Learning For Visual Computing - IITKGP - VideoAndMovie

NPTEL MOOC Online Course on Deep Learning for Visual Computing offered in Spring 2018.

Enrolment: https://onlinecourses.nptel.ac.in/noc18_ee08/course
Codes: https://github.com/iitkliv/dlvcnptel

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Lecture 41 : Space and Computational Complexity in DNN

26:38

Lecture 41 : Space and Computational Complexity in DNN

Lecture 45 : Transfer Learning a ResNet

23:44

Lecture 45 : Transfer Learning a ResNet

Lecture 43: Domain Adaptation and Transfer Learning in Deep Neural Networks

24:26

Lecture 43: Domain Adaptation and Transfer Learning in Deep Neural Networks

Lecture 42 : Assessing the space and computational complexity of very deep CNNs

32:33

Lecture 42 : Assessing the space and computational complexity of very deep CNNs

Lecture 44 : Transfer Learning a GoogLeNet

24:24

Lecture 44 : Transfer Learning a GoogLeNet

Lecture 37 : GoogLeNet

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Lecture 37 : GoogLeNet

Lecture 38: ResNet - Residual Connections within Very Deep Networks and DenseNet - Densely connected

23:20

Lecture 38: ResNet - Residual Connections within Very Deep Networks and DenseNet - Densely connected

Lecture 36: GoogLeNet - Going very deep with convolutions

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Lecture 36: GoogLeNet - Going very deep with convolutions

Lecture 39: ResNet

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Lecture 39: ResNet

Lecture 40: : DenseNet

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Lecture 40: : DenseNet

Lecture 31 : Convolutional Autoencoder and Deep CNN

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Lecture 31 : Convolutional Autoencoder and Deep CNN

Lecture 32 : Convolutional Autoencoder for Representation Learning

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Lecture 32 : Convolutional Autoencoder for Representation Learning

Lecture 33 : AlexNet

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Lecture 33 : AlexNet

Lecture 35 : Revisiting AlexNet and VGGNet for Computational Complexity

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Lecture 35 : Revisiting AlexNet and VGGNet for Computational Complexity

Lecture 34 : VGGNet

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Lecture 34 : VGGNet