Index of /nptel/computing/Deep Learning

	Name	Last modified	Size	Description
	Parent Directory		-
	Lecture 37_ MLP versus CNN, Popular CNN Architecture_ LeNet.mp4	2020-07-31 15:11	223M
	Lecture 24_ Loss Function.mp4	2020-07-31 15:06	227M
	Lecture 39_ Popular CNN Architecture_ VGG16, Transfer Learning.mp4	2020-07-31 15:12	236M
	Lecture 46_ Normalization.mp4	2020-07-31 15:15	247M
	Lecture 32_ Autoencoder Variants I.mp4	2020-07-31 15:09	248M
	Lecture 43 _ Optimisers_ Momentum and Nesterov Accelerated Gradient (NAG) Optimiser.mp4	2020-07-31 15:14	251M
	Lecture 49_ Layer, Instance, Group Normalization.mp4	2020-07-31 15:16	252M
	Lecture 41 _ GoogleNet.mp4	2020-07-31 15:13	253M
	Lecture 47_ Batch Normalization-I.mp4	2020-07-31 15:15	254M
	Lecture 26_ Backpropagation Learning- Example II.mp4	2020-07-31 15:07	254M
	Lecture 28_ Autoencoder.mp4	2020-07-31 15:08	254M
	Lecture 55_ Semantic Segmentation - III.mp4	2020-07-31 15:19	255M
	Lecture 12_ Support Vector Machine - II.mp4	2020-07-31 15:01	257M
	Lecture 42 _ ResNet, Optimisers_ Momentum Optimiser.mp4	2020-07-31 15:13	257M
	Lecture 10_ Linear Classifier - II.mp4	2020-07-31 15:00	258M
	Lecture 33_ Autoencoder Variants II.mp4	2020-07-31 15:10	258M
	Lecture 58 _ Variational Autoencoder - II.mp4	2020-07-31 15:20	259M
	Lecture 45 _ Optimisers_ RMSProp, AdaDelta and Adam Optimiser.mp4	2020-07-31 15:15	259M
	Lecture 11_ Support Vector Machine - I.mp4	2020-07-31 15:00	260M
	Lecture 27_ Backpropagation Learning- Example III.mp4	2020-07-31 15:07	260M
	Lecture 50_ Training Trick, Regularization,Early Stopping.mp4	2020-07-31 15:17	260M
	Lecture 19_ Introduction to Neural Network.mp4	2020-07-31 15:04	261M
	Lecture 18_ Nonlinear Functions.mp4	2020-07-31 15:03	262M
	Lecture 22_ Multilayer Perceptron - II.mp4	2020-07-31 15:05	262M
	Lecture 54_ Semantic Segmentation - II.mp4	2020-07-31 15:18	262M
	Lecture 34_ Convolution.mp4	2020-07-31 15:10	263M
	Lecture 53_ Semantic Segmentation - I.mp4	2020-07-31 15:18	263M
	Lecture 44 _ Optimisers_ Adagrad Optimiser.mp4	2020-07-31 15:14	267M
	Lecture 15_ Multiclass Support Vector Machine -II.mp4	2020-07-31 15:02	269M
	Lecture 56 _ Image Denoising.mp4	2020-07-31 15:19	269M
	Lecture 20_ Neural Network -II.mp4	2020-07-31 15:04	270M
	Lecture 17_ Optimization Techniques in Machine Learning.mp4	2020-07-31 15:03	270M
	Lecture 08_ Discriminant Function - III.mp4	2020-07-31 14:59	270M
	Lecture 13_ Linear Machine.mp4	2020-07-31 15:01	271M
	Lecture 36_ CNN Architecture.mp4	2020-07-31 15:11	271M
	Lecture 59 _ Variational Autoencoder - III.mp4	2020-07-31 15:20	272M
	Lecture 40_ Vanishing and Exploding Gradient.mp4	2020-07-31 15:13	272M
	Lecture 23_ Backpropagation Learning.mp4	2020-07-31 15:06	273M
	Lecture 21_ Multilayer Perceptron.mp4	2020-07-31 15:05	274M
	Lecture 35_ Cross Correlation.mp4	2020-07-31 15:11	277M
	Lecture 04_ Bayesian Learning - I.mp4	2020-07-31 14:57	278M
	Lecture 01_ Introduction.mp4	2020-07-31 14:55	279M
	Lecture 30_ Autoencoder Vs. PCA II.mp4	2020-07-31 15:08	280M
	Lecture 48_ Batch Normalization-II.mp4	2020-07-31 15:16	280M
	Lecture 51 _ Face Recognition.mp4	2020-07-31 15:17	280M
	Lecture 07_ Discriminant Function - II.mp4	2020-07-31 14:58	281M
	Lecture 02_ Feature Descriptor - I.mp4	2020-07-31 14:56	287M
	Lecture 29_ Autoencoder Vs. PCA I.mp4	2020-07-31 15:08	288M
	Lecture 31_ Autoencoder Training.mp4	2020-07-31 15:09	289M
	Lecture 09_ Linear Classifier.mp4	2020-07-31 14:59	290M
	Lecture 16_ Optimization.mp4	2020-07-31 15:02	290M
	Lecture 38_ Popular CNN Architecture_ AlexNet.mp4	2020-07-31 15:12	291M
	Lecture 57 _ Variational Autoencoder.mp4	2020-07-31 15:20	294M
	Lecture 25_ Backpropagation Learning- Example.mp4	2020-07-31 15:06	297M
	Lecture 52 _ Deconvolution Layer.mp4	2020-07-31 15:17	297M
	Lecture 05_ Bayesian Learning - II.mp4	2020-07-31 14:57	310M
	Lecture 14_ Multiclass Support Vector Machine - I.mp4	2020-07-31 15:02	311M
	Lecture 60 _ Generative Adversarial Network.mp4	2020-07-31 15:21	323M
	Lecture 06_ Discriminant Function - I.mp4	2020-07-31 14:58	326M
	Lecture 03_ Feature Descriptor - II.mp4	2020-07-31 14:56	347M