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17 results
In this video, we take a look at CLIP (contrastive language image pretraining). What is it? Why do we have it? How does it look?
1,097 views
3 weeks ago
Welcome to Swayam Prabha Subject: Electrical Engineering Course Name: Information Theory, Coding and Cryptography ...
0 views
13 days ago
In this video, we take a look at Feature Pyramid Networks (FPN). What is it? How does it work? Why they are so useful in computer ...
946 views
2 months ago
In this video, we take a look at depthwise separable convolutions. What is it? How does it work? Why do it? Code included!
1,310 views
3 months ago
1 view
Lecture 15: Trellis Representations of Binary Linear Block Codes Topics covered: Trellis Representations of Binary Linear Block ...
7 views
11 months ago
In this video, we take a look the YOLO (V1) network. What is it? Why and how does it work? ABOUT ME ⭕ Subscribe: ...
3,169 views
Welcome to Swayam Prabha Subject: Electrical Engineering Course Name: An Introduction to Coding Theory Name of ...
2 views
Jupyter-notebook at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week5/ipynb/week5.ipynb.
49 views
In this video, we take a look 1x1 convolutions (point wise convolutions) and demonstrate what they are, why they are useful, ...
1,013 views
5 months ago
In this video, we take a look the inception network architecture. What is it? What does it look so funky? How do we code it out?
1,082 views
4 months ago
In this video, we take a look at R-CNN (regions with convolution features). We see how training and inference occurs. ABOUT ME ...
2,521 views
In this video, we take a look the Fast RCNN network. What is it? Why is it better than the original RCNN? How do we train and ...
2,797 views
In this video, we take a look the Mask R-CNN network. What is it? How is it trained? Code for inference! ABOUT ME ⭕ Subscribe: ...
1,234 views
4 views
5 views
