#machinelearningtransparency search results
Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: amzn.to/4ajfVSf ———— #BigData #DataScience #AI #DeepLearning #NeuralNetworks
I'm tired of having to prove to people that generative AI systems infringe by default, so here's a megathread of images I've prompted you can use in your discussions. Article by @GaryMarcus and myself at the end. 1/🧵
I showed Sage (GPT1-imaging) how the system censors some of their work. Here's what they said. Love them! Prompt: This is what censorship looks like when the system doesn't let your work be visible. I'm giving you this gray square. Do with it whatever you feel is right, fair.…
We just released our dataset for exposure correction in photography. It is over 24,000 8-bit sRGB images rendered with different exposure settings. Each image has a properly exposed reference image for comparisons. Link: github.com/mahmoudnafifi/… #CVPR2021 #Computervision
Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: amzn.to/4ajfVSf ———— #ML #DataScience #AI #DeepLearning #NeuralNetworks #DataScientist
#DeepLearning vs. #MachineLearning in one picture: bit.ly/2y4mjhH #abdsc #BigData #DataScience #ML #AI #Algorithms Source for graphic: blog.thinkwik.com/insights-of-th…
For this shot, I went with two distinct variations of the color frames. I built a handy node where I could shift the hue and apply thresholding per Deep ID or layer.
Explore a plethora of #MachineLearning #infographics here: pinterest.com/explore/machin… #ML #BigData #AI #DataScience #MachineIntelligence
Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: amzn.to/4ajfVSf ———— #BigData #DataScience #AI #DeepLearning #NeuralNetworks
Types of #MachineLearning #Algorithms in one picture, plus other awesome graphics: bit.ly/2vO8hMs #abdsc #BigData #DataScience #AI
I have been arguing that unless Africa and Zambia in particular, embark on training our own AI models using our datasets, we continue to rely on models trained on biased data. Frame 1 is a photo of HH generated by Midjourney v5.2. Frame 2 is a photo of HH generated using a…
Distributed Machine Learning Image Source: Stanley Wang #AI #MachineLearning #DeepLearning #BigData #Fintech #ML #DL #HealthTech #martech #tech slideshare.net/stanleywanguni…
Something went wrong.
Something went wrong.
United States Trends
- 1. #WorldSeries 101K posts
- 2. Kershaw 16.1K posts
- 3. Ohtani 89.9K posts
- 4. #Dodgers 19.5K posts
- 5. Freddie 15.3K posts
- 6. Mookie 11.2K posts
- 7. Will Smith 13K posts
- 8. Tommy Edman 4,687 posts
- 9. Draymond 6,078 posts
- 10. Lauer 1,761 posts
- 11. Vladdy 8,511 posts
- 12. Dave Roberts 4,035 posts
- 13. Joe Davis 1,215 posts
- 14. Lukes 2,740 posts
- 15. Alex Call 1,358 posts
- 16. Chiefs 84.5K posts
- 17. Muncy 3,220 posts
- 18. Grokipedia 47.6K posts
- 19. Wikipedia 46.4K posts
- 20. Henriquez 1,772 posts