For those who still not clear in how backpropagation works, and how we can build Autograd(like in PyTorch), I've built a simple tutorial https://learnml.today/making-backpropagation-autograd-mnist-classifier-from-scratch-in-Python-5
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Alright, papers, papers, papers!
Come on in Papers lovers!
Here at the ICLR2020 we’re slashing papers in half!
Give us an offer on our vast selection of papers, this is a papers blow out!
Alright, we got white papers, black papers, spanish papers, yellow papers. We got hot papers, cold papers. We got wet papers. We got smelly papers. We got hairy papers, bloody papers. We got snapping papers. We got silk papers, velvet papers, naugahyde papers. We even got horse papers, dog papers, chicken papers.
C'mon, you want papers, come on in ICLR2020!
If we don’t got it, you don't want it!
Come on in ICLR2020!
https://paperswithcode.com/conference/iclr-2020-1/official
Come on in Papers lovers!
Here at the ICLR2020 we’re slashing papers in half!
Give us an offer on our vast selection of papers, this is a papers blow out!
Alright, we got white papers, black papers, spanish papers, yellow papers. We got hot papers, cold papers. We got wet papers. We got smelly papers. We got hairy papers, bloody papers. We got snapping papers. We got silk papers, velvet papers, naugahyde papers. We even got horse papers, dog papers, chicken papers.
C'mon, you want papers, come on in ICLR2020!
If we don’t got it, you don't want it!
Come on in ICLR2020!
https://paperswithcode.com/conference/iclr-2020-1/official
Paperswithcode
Papers with Code - ICLR 2020 1
Text to speach framework
https://github.com/NVIDIA/flowtron
https://github.com/NVIDIA/flowtron
GitHub
GitHub - NVIDIA/flowtron: Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control…
Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer - NVIDIA/flowtron
What network will u use for credit card segmentation? Describe why briefly.
Answer in comments bellow
Answer in comments bellow
YOLO5 is here! https://blog.roboflow.ai/yolov5-is-here/
Roboflow Blog
YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS
Less than 50 days after the release YOLOv4, YOLOv5 improves accessibility for realtime object detection.
June 29, YOLOv5 has released the first official version of the repository. We wrote a new deep dive on YOLOv5.
June 12, 8:08 AM CDT Update: In response…
June 29, YOLOv5 has released the first official version of the repository. We wrote a new deep dive on YOLOv5.
June 12, 8:08 AM CDT Update: In response…
Отличная вакансия для тех кто хочет заниматься ресерчем в сфере 3D ML
https://www.notion.so/3D-ML-Research-Engineer-NeoRender-606dffa845c845c58e612059f8d8992a
https://www.notion.so/3D-ML-Research-Engineer-NeoRender-606dffa845c845c58e612059f8d8992a
Тетянка's Notion on Notion
3D ML Research Engineer @ NeoRender
Треба:
Досвід програмування на Python
Досвід роботи з фреймворками глибокого навчання (бажано PyTorch)
Вміння та бажання активно цікавитися останніми подіями у галузі та актуальними дослідженнями
Досвід програмування на Python
Досвід роботи з фреймворками глибокого навчання (бажано PyTorch)
Вміння та бажання активно цікавитися останніми подіями у галузі та актуальними дослідженнями
Open AI build PacMan game just by looking at game video.
Maybe soon AI will do programming instead of us.
https://www.youtube.com/watch?v=3UZzu4UQLcI
Maybe soon AI will do programming instead of us.
https://www.youtube.com/watch?v=3UZzu4UQLcI
YouTube
NVIDIA’s GameGAN AI Recreated PacMan! 👻
❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers
The mentioned blog post is available here:
https://www.wandb.com/articles/visualizing-molecular-structure-with-weights-biases
📝 The paper "Learning to Simulate…
The mentioned blog post is available here:
https://www.wandb.com/articles/visualizing-molecular-structure-with-weights-biases
📝 The paper "Learning to Simulate…
Papers from CVPR 2020
http://openaccess.thecvf.com/CVPR2020.py
http://openaccess.thecvf.com/CVPR2020.py