00:53

7 Principles of Responsible AI defined by Google

30:22

Reliable & Trustworthy AI with Uncertainty Estimation

09:17

Image Comparison App with Streamlit

33:21

Demo: Understanding weight matrices (Deep Ensemble vs Batch Ensemble vs Rank-1 BNN)- part 2

15:04

Understanding weight matrices (Deep Ensemble vs Batch Ensemble vs Rank-1 BNN)- part 1

16:05

Drawing Dynamic Bar in OpenCV

08:45

Hindi - Converting given data distribution to another distribution

09:12

Converting given data distribution to another distribution

02:39

Carbon footprint of any webpage and cleanest website.

11:43

3: Easy ways to improve code readability in Python

18:54

Computing Carbon Footprint of AI Model Training

15:55

Part-3: Dataloaders for different scenarios of data augmentation in PyTorch

19:35

Part-2: Dataloaders for different scenarios of data augmentation in PyTorch

23:44

Part-1: Dataloaders for different scenarios of data augmentation in PyTorch

07:30

Performance comparison graph using plotly

04:24

2: Be careful while customizing pretrained pytorch model

29:19

02 rearranging linked list part 1

08:11

01_anagram_solution 2

18:19

01_anagrams_solution_1

01:38

2D Convolution Neural Network Animation

25:05

Part 5.5: Implementing RotationNet approach for Custom Data

18:19

Part 5.4: Implementing RotationNet approach for Custom Data

05:54

tip n tricks 1: dot notation access to dictionary attribute

37:34

Part 5.3: Implementing RotationNet approach for Custom Data

30:19

Part 5.2: Implementing RotationNet approach for Custom Data

16:20

Part 5.1: Implementing RotationNet approach for Custom Data

18:30

High dimensional features/embedding visualization with tensor board using tensor flow 2

01:53

Covid-19 Data upto 31 Dec 2020: Bar Chart Race visualization

00:40

Bar chart race: Covid -19 recovery highest in India: 9.8 million recovered so far

28:33

Quick Introduction to AI and the development pipeline

23:40

Part-4 Understanding Rotation Net approach for unsupervised representation learning

13:56

Part-3 Contd. Quick overview of different self-supervised learning approaches.

11:38

Part-3 Quick overview of different self-supervised learning approaches.

04:15

Part-2 contd.. : Evaluating Self-Supervised Learning Models

10:55

Part-2 Introduction to Self-Supervised Learning

09:45

Part-1 Introduction to Self-Supervised Learning

00:57

Thank you!! 5 K Subscribers!!!!

45:58

Custom data generator for video input (video classifier) | Custom data generator Pt-4

01:43

April Covid-19: Bar Chart Race Visualization

01:48

Covid-19: Bar Chart Race Visualization

21:47

Bar Chart Race Tutorial with Covid-19 Dataset - Pt-2

10:31

Bar Chart Race Tutorial with Covid-19 Dataset - Pt-1

28:30

Custom data generator for singe input (image classifier) | Custom data generator Pt-3

08:38

What is generator function | Custom data generator in python for different deep models Pt-2

07:34

Custom data generator in python for training different Deep Learning models Pt-1

06:34

Generating model summary in PyTorch like Keras

12:14

When AI/Neural Network saw the Black Hole Picture

14:20

Downloading all images from google image search, all at once

11:03

Converting sequence of frames into a video

05:40

Recording and saving live data from camera part-2

00:22

Human Pose Estimation on Thermal Data

07:28

Recording and saving live data from camera part-1

15:18

Automatically renaming multiple files in sequence

00:38

Trying out Tensorflow object detection API with Infrared input

02:08

AI mimics Narendra Modi- face2face demo:pix2pix demo

10:34

Tutorial on CNN implementation for own data set in keras(TF & Theano backend)-part-3

55:11

Ep-3.1: Understanding Logistic Regression || TFK-Deep Learning || Exploring Neurons

36:25

Ep-2.3: Linear Regression in Keras || TFK-Deep Learning || Exploring Neurons

00:13

output-3-class-video-classification-CNN-LSTM

49:32

Ep-2.2: Linear Regression with Tensorflow || TFK-Deep Learning || Exploring Neurons