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0:00:53

7 Principles of Responsible AI defined by Google

0:01:01

Reliable & Trustworthy AI with Uncertainty Estimation. https://youtu.be/aSjV485MFrA

0:30:22

Reliable & Trustworthy AI with Uncertainty Estimation

0:00:40

AI assisted billing with image recognition at BigBasket. #imagerecognition #bigbasket #ai

0:09:17

Image Comparison App with Streamlit

0:33:21

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

0:15:04

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

0:16:05

Drawing Dynamic Bar in OpenCV

0:01:01

Landslide enroute Tilichio Base Camp. 6 oct 2022

0:00:16

Potholes of Bengaluru. #PotholesValleyOfIndia

0:08:45

Hindi - Converting given data distribution to another distribution

0:09:12

Converting given data distribution to another distribution

0:00:09

EfficientNet Bloopers. #EfficientNet #deeplearning

0:00:10

EfficientNet is one of the best model for image data. #EfficientNet #deeplearning

0:00:16

Deep Model Ensemble -2: https://arxiv.org/abs/1612.01474.

0:00:16

Deep Model Ensemble 1 - https://arxiv.org/abs/1612.01474

0:02:39

Carbon footprint of any webpage and cleanest website.

0:11:43

3: Easy ways to improve code readability in Python

0:18:54

Computing Carbon Footprint of AI Model Training

0:15:55

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

0:19:35

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

0:23:44

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

0:07:30

Performance comparison graph using plotly

0:04:24

2: Be careful while customizing pretrained pytorch model