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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 ...

In this video, we take a look the VGG network architecture. What is it? Why is it so deep? How do we code it out? How well does it ...

In this video, we take a look the ResNet network. What is it? Why is it better than some of the shallower networks that came before ...

In this video, we take a look at Vision Transformers (ViT). What is it? Why do we have it? How do we pretrain and fine tune it?

In this video, we take a look 1x1 convolutions (point wise convolutions) and demonstrate what they are, why they are useful, ...

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 ...

In this video, we take a look the YOLO (V1) network. What is it? Why and how does it work? ABOUT ME ⭕ Subscribe: ...

In this video, we take a look the Faster RCNN network. What is it? Why and how is it "faster" than the other R-CNN networks?

In this video, we take a look at R-CNN (regions with convolution features). We see how training and inference occurs. ABOUT ME ...

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: ...

Lecture 15: Trellis Representations of Binary Linear Block Codes Topics covered: Trellis Representations of Binary Linear Block ...

Let's understand region proposals: what it is, why we do it and how we can achieve this with some code. ABOUT ME ⭕ Subscribe: ...

Code - https://colab.research.google.com/drive/1uRUPZFQwiBxEQCCiLNQCFtk7b4L_7N_E?usp=sharing My Notes: ...

Paper - https://github.com/deepseek-ai/DeepSeek-OCR/blob/main/DeepSeek_OCR_paper.pdf Become AI Researcher & Train ...

So now that the Einste makes sense let's go back to this this code over here So we have uh essentially so B O X those are the ...

In this video, we delved into the world of AI ML projects, specifically focusing on creating a web application for detecting ...