Deep Learning(CS7015): Lec 8.1 Bias and Variance

preview_player
Показать описание
lec08mod01
  1. NPTEL-NOC IITM
  2. deep learning
  3. prof.mitesh khapra
  4. iitmadras
  5. nptel deep learning
Рекомендации по теме
Deep Learning(CS7015): Lec 0:10:53

Deep Learning(CS7015): Lec 8.1 Bias and Variance

Deep Learning(CS7015): Lec 0:13:30

Deep Learning(CS7015): Lec 2.8 Representation Power of a Network of Perceptrons

Deep Learning(CS7015): Lec 0:08:48

Deep Learning(CS7015): Lec 8.3 True error and Model complexity

Deep Learning(CS7015): Lec 0:04:51

Deep Learning(CS7015): Lec 8.8 Adding Noise to the outputs

Deep Learning(CS7015): Lec 0:11:00

Deep Learning(CS7015): Lec 2.3 Perceptrons

Deep Learning(CS7015): Lec 0:07:57

Deep Learning(CS7015): Lec 1.3 The Deep Revival

Deep Learning(CS7015): Lec 0:08:51

Deep Learning(CS7015): Lec 10.9 Evaluating word representations

Deep Learning(CS7015): Lec 0:11:59

Deep Learning(CS7015): Lec 5.5 Nesterov Accelerated Gradient Descent

Deep Learning(CS7015): Lec 0:26:31

Deep Learning(CS7015): Lec 9.4 Better initialization strategies

Deep Learning(CS7015): Lec 0:03:32

Deep Learning(CS7015): Lec 1.4 From Cats to Convolutional Neural Networks

Deep Learning Part 0:08:23

Deep Learning Part - II (CS7015): Lec 22.5 Bringing it all together (the deep generative summary)

Deep Learning(CS7015): Lec 0:08:39

Deep Learning(CS7015): Lec 7.6 Contractive Autoencoders

Deep Learning(CS7015): Lec 0:28:09

Deep Learning(CS7015): Lec 9.3 Better activation functions

Deep Learning(CS7015): Lec 0:21:02

Deep Learning(CS7015): Lec 4.6 Backpropagation: Computing Gradients w.r.t. Hidden Units

Deep Learning Part 0:02:45

Deep Learning Part - II (CS7015): Lec 18.8 Motivation for Sampling - Part - 02

Deep Learning(CS7015): Lec 0:08:44

Deep Learning(CS7015): Lec 13.1 Sequence Learning Problems

Deep Learning 8: 0:53:39

Deep Learning 8: Sequential models

Deep Learning(CS7015): Lec 0:08:03

Deep Learning(CS7015): Lec 8.7 Adding Noise to the inputs

Deep Learning(CS7015): Lec 0:05:59

Deep Learning(CS7015): Lec 4.8 Backpropagation: Pseudo code

Deep Learning(CS7015): Lec 0:09:48

Deep Learning(CS7015): Lec 13.2 Recurrent Neural Networks

Deep Learning(CS7015): Lec 0:13:21

Deep Learning(CS7015): Lec 5.7 Tips for Adjusting Learning Rate and Momentum

Deep Learning(CS7015): Lec 0:11:31

Deep Learning(CS7015): Lec 15.4 Attention over images

Deep Learning(CS7015): Lec 0:17:39

Deep Learning(CS7015): Lec 7.2 Link between PCA and Autoencoders

Bias/Variance (C2W1L02) 0:08:47

Bias/Variance (C2W1L02)

Комментарии
Автор

Even Andrew Ng doesn't explain this concept in such detail... Hat's off to this Prof... (Y)

souravsamanta
Автор

tough concepts explained with ease ... quality of a great teacher

tanmaysinha
Автор

Very well explained. The concept became clear now. Thank you

p.s.srinivas
Автор

Thank you for the awesome explanation, could someone please explain the difference between tradeoff between bias and variance?

arrow_the_keralite.
Автор

wheres the rest of the lecture? surely it isnt only 11 mins long!
by the way, thanks a lot for sharing these lectures. they are top notch. better than that of Harvard and Stanford and the likes.

amortalbeing
Автор

Thanks Sir for such wonderful lectures on the topic!

shitizgoel
Автор

kindly tell which book you are talking about at 1:00

skumarn