Index of /nptel/computing/Deep Learning

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[VID]Lecture 37_ MLP versus CNN, Popular CNN Architecture_ LeNet.mp42020-07-31 15:11 223M 
[VID]Lecture 24_ Loss Function.mp42020-07-31 15:06 227M 
[VID]Lecture 39_ Popular CNN Architecture_ VGG16, Transfer Learning.mp42020-07-31 15:12 236M 
[VID]Lecture 46_ Normalization.mp42020-07-31 15:15 247M 
[VID]Lecture 32_ Autoencoder Variants I.mp42020-07-31 15:09 248M 
[VID]Lecture 43 _ Optimisers_ Momentum and Nesterov Accelerated Gradient (NAG) Optimiser.mp42020-07-31 15:14 251M 
[VID]Lecture 49_ Layer, Instance, Group Normalization.mp42020-07-31 15:16 252M 
[VID]Lecture 41 _ GoogleNet.mp42020-07-31 15:13 253M 
[VID]Lecture 47_ Batch Normalization-I.mp42020-07-31 15:15 254M 
[VID]Lecture 26_ Backpropagation Learning- Example II.mp42020-07-31 15:07 254M 
[VID]Lecture 28_ Autoencoder.mp42020-07-31 15:08 254M 
[VID]Lecture 55_ Semantic Segmentation - III.mp42020-07-31 15:19 255M 
[VID]Lecture 12_ Support Vector Machine - II.mp42020-07-31 15:01 257M 
[VID]Lecture 42 _ ResNet, Optimisers_ Momentum Optimiser.mp42020-07-31 15:13 257M 
[VID]Lecture 10_ Linear Classifier - II.mp42020-07-31 15:00 258M 
[VID]Lecture 33_ Autoencoder Variants II.mp42020-07-31 15:10 258M 
[VID]Lecture 58 _ Variational Autoencoder - II.mp42020-07-31 15:20 259M 
[VID]Lecture 45 _ Optimisers_ RMSProp, AdaDelta and Adam Optimiser.mp42020-07-31 15:15 259M 
[VID]Lecture 11_ Support Vector Machine - I.mp42020-07-31 15:00 260M 
[VID]Lecture 27_ Backpropagation Learning- Example III.mp42020-07-31 15:07 260M 
[VID]Lecture 50_ Training Trick, Regularization,Early Stopping.mp42020-07-31 15:17 260M 
[VID]Lecture 19_ Introduction to Neural Network.mp42020-07-31 15:04 261M 
[VID]Lecture 18_ Nonlinear Functions.mp42020-07-31 15:03 262M 
[VID]Lecture 22_ Multilayer Perceptron - II.mp42020-07-31 15:05 262M 
[VID]Lecture 54_ Semantic Segmentation - II.mp42020-07-31 15:18 262M 
[VID]Lecture 34_ Convolution.mp42020-07-31 15:10 263M 
[VID]Lecture 53_ Semantic Segmentation - I.mp42020-07-31 15:18 263M 
[VID]Lecture 44 _ Optimisers_ Adagrad Optimiser.mp42020-07-31 15:14 267M 
[VID]Lecture 15_ Multiclass Support Vector Machine -II.mp42020-07-31 15:02 269M 
[VID]Lecture 56 _ Image Denoising.mp42020-07-31 15:19 269M 
[VID]Lecture 20_ Neural Network -II.mp42020-07-31 15:04 270M 
[VID]Lecture 17_ Optimization Techniques in Machine Learning.mp42020-07-31 15:03 270M 
[VID]Lecture 08_ Discriminant Function - III.mp42020-07-31 14:59 270M 
[VID]Lecture 13_ Linear Machine.mp42020-07-31 15:01 271M 
[VID]Lecture 36_ CNN Architecture.mp42020-07-31 15:11 271M 
[VID]Lecture 59 _ Variational Autoencoder - III.mp42020-07-31 15:20 272M 
[VID]Lecture 40_ Vanishing and Exploding Gradient.mp42020-07-31 15:13 272M 
[VID]Lecture 23_ Backpropagation Learning.mp42020-07-31 15:06 273M 
[VID]Lecture 21_ Multilayer Perceptron.mp42020-07-31 15:05 274M 
[VID]Lecture 35_ Cross Correlation.mp42020-07-31 15:11 277M 
[VID]Lecture 04_ Bayesian Learning - I.mp42020-07-31 14:57 278M 
[VID]Lecture 01_ Introduction.mp42020-07-31 14:55 279M 
[VID]Lecture 30_ Autoencoder Vs. PCA II.mp42020-07-31 15:08 280M 
[VID]Lecture 48_ Batch Normalization-II.mp42020-07-31 15:16 280M 
[VID]Lecture 51 _ Face Recognition.mp42020-07-31 15:17 280M 
[VID]Lecture 07_ Discriminant Function - II.mp42020-07-31 14:58 281M 
[VID]Lecture 02_ Feature Descriptor - I.mp42020-07-31 14:56 287M 
[VID]Lecture 29_ Autoencoder Vs. PCA I.mp42020-07-31 15:08 288M 
[VID]Lecture 31_ Autoencoder Training.mp42020-07-31 15:09 289M 
[VID]Lecture 09_ Linear Classifier.mp42020-07-31 14:59 290M 
[VID]Lecture 16_ Optimization.mp42020-07-31 15:02 290M 
[VID]Lecture 38_ Popular CNN Architecture_ AlexNet.mp42020-07-31 15:12 291M 
[VID]Lecture 57 _ Variational Autoencoder.mp42020-07-31 15:20 294M 
[VID]Lecture 25_ Backpropagation Learning- Example.mp42020-07-31 15:06 297M 
[VID]Lecture 52 _ Deconvolution Layer.mp42020-07-31 15:17 297M 
[VID]Lecture 05_ Bayesian Learning - II.mp42020-07-31 14:57 310M 
[VID]Lecture 14_ Multiclass Support Vector Machine - I.mp42020-07-31 15:02 311M 
[VID]Lecture 60 _ Generative Adversarial Network.mp42020-07-31 15:21 323M 
[VID]Lecture 06_ Discriminant Function - I.mp42020-07-31 14:58 326M 
[VID]Lecture 03_ Feature Descriptor - II.mp42020-07-31 14:56 347M 

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