If you are in a hurry and you want to know the core ideas of a research paper in Deep Learning/Artificial Intelligence, this podcast is for you. In each episode, I take a scientific paper and explain in simple words its main ideas.
Hope you enjoy it!
All content for Paper In A Nutshell is the property of Debayan Bhattacharya and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
If you are in a hurry and you want to know the core ideas of a research paper in Deep Learning/Artificial Intelligence, this podcast is for you. In each episode, I take a scientific paper and explain in simple words its main ideas.
Hope you enjoy it!
In this episode, we discuss what is YOLO and why it is so good! We break down the paper into its core ideas. I hope you enjoy it.
Link to the papers:
V1: https://arxiv.org/pdf/1506.02640.pdf
V2: https://arxiv.org/pdf/1612.08242.pdf
V3: https://pjreddie.com/media/files/papers/YOLOv3.pdf
V4: https://arxiv.org/pdf/2004.10934.pdf
My favorite YOLO implementations:
Tensorflow: https://github.com/YunYang1994/tensorflow-yolov3
Pytorch: https://github.com/eriklindernoren/PyTorch-YOLOv3
If you enjoy this episode, head over to my instagram channel and follow me.
https://www.instagram.com/paperinanutshell/
Thank you! Dhonnobaad!
Paper In A Nutshell
If you are in a hurry and you want to know the core ideas of a research paper in Deep Learning/Artificial Intelligence, this podcast is for you. In each episode, I take a scientific paper and explain in simple words its main ideas.
Hope you enjoy it!
