25:39

Visualizing CNNs

16:58

Finetuning CNNs

50:23

Newer and Recent CNN Architectures

27:01

Evolution of CNN Architectures: InceptionNet, ResNet

35:21

CNN Architectures for Image Classification: AlexNet, VGG

20:48

Backpropagation in CNNs

35:33

Convolutional Neural Networks: An Introduction Part 2

26:59

Convolutional Neural Networks: An Introduction Part 1

22:38

Improving Training of Neural Networks Part 2

28:51

Improving Training of Neural Networks Part 1

39:49

Regularization in Neural Networks Part 2

38:48

Regularization in Neural Networks Part 1

33:23

Gradient Descent and Variants Part 2

41:01

Gradient Descent and Variants Part 1

22:18

Feedforward Neural Networks and Backpropagation Part 2

24:52

Feedforward Neural Networks and Backpropagation Part 1

19:53

Neural Networks: A Review Part 2

30:22

Neural Networks: A Review Part 1

27:54

Additional Content: Human Visual System

26:05

Additional Content: Other Feature Spaces

40:12

Additional Content: Image Segmentation

40:36

SIFT and Variants

29:16

Scale Space, Image Pyramids and Filter Banks

39:07

From Edges to Blobs and Corners

52:58

Edge Detection

06:51

How to ace listening tests

15:01

How to ace speaking tests

14:37

(Lecture 1) Introduction and Types of data - Part 1

28:54

Course Overview - Statistics for Data Science 1

32:40

(Lecture 2) Introduction and Types of data - Part 2

19:01

Lec 11 - Degrees of Infinity

07:03

Lec 09 - Why is a Number Irrational?

20:34

(Lecture 4) Introduction and Types of data - Part 4

15:02

Lecture 9: Max in a single iteration and max in two iterations (non nested)

02:17

Why Should IIT Madras Launch an Online Degree Program?

02:08

Diploma Level of the Online Degree Program

05:51

Message about IITM Online Degree by Dean, Alumni & Corporate Relations - Prof Mahesh Panchagnula

02:15

Eligibility for the Online Degree Program

07:05

Lec 10 - Sets versus Collections

06:43

Lecture 1: Introduction to Datasets

04:56

Lecture 13: Flowchart for sum with filtering

02:28

Qualifying Process for the Online Degree Program

12:17

Lec 02 - Rational Numbers

08:55

Lec 03 - Real and Complex Numbers

13:43

Lecture 14: Flowchart for max marks

15:13

Tutorial 3 - Spreadsheet formulae

22:55

Lecture 2: Concept of variables, iterators and filtering

09:29

Lecture 7: Local operations and max in single iteration Part 4

15:54

Lecture 12: Introduction to flowcharts

01:47

IIT Madras Online Degree Programme

20:59

Lec 06 - Relations

07:41

(Tutorial 1) Statistics for Data Science 1

00:43

Why Learn Programming and Data Science?

09:26

Lecture 5: Local operations and max in single iteration Part 2

23:01

Conversational Skills for Basic Communication

19:42

Lec 01 - Natural Numbers and Their Operations

30:23

Lecture 7 - Words

19:06

Lec 05 - Construction of Subsets and Set Operations

20:07

Lec 07 - Functions

01:13

Admission Process without a Typical Entrance Exam - Online Degree Program