#JusticeForSuchir
https://t.co/xqH15hdVO5
We are the parents of happy, smart and brave young man Suchir, found dead in his aparment on 11/26/2024. We are seeking to know complete truth, we need more answers. Suchir just went on vacation with his friends between 11/16/2024 and 11/22/2024. He was very happy when he spoke to family on 11/22/2024 at 7.15 pm and was excited about his trip. His time of death is few hours after his last call with family. We dont understand within few hours what happened does not align with his happy mood and return from vacation.@suchirbalaji@elonmusk@GavinNewsom@VivekGRamaswamy@DrSJaishankar@meaindia1
@kuchubro I quit cable in 2015 cause of annoying/cringe ads. Breaking point was an ad for individual matrimony sites for each caste. But i miss aimlessly binging Aditya channel and sun music 🥺
@aabhas_mathur You can first obtain depth maps from the image(see monocular depth estimation) and convert the depth map to pointcloud using PCL libraries. Good luck!
Given infinite data, you can solve arbitrarily complex problems with a "dumb" model (such as a densely-connected neural network). However, when it comes to difficult real-world problems like self-driving, "lots of data" is very different from "infinite data". The long tail is fat
An interactive article explaining why weight initialization is so important for training neural nets by @deeplearningai_, written in the https://t.co/pxiwhf2mAG format. https://t.co/IhwScvEao3
1/ Excited to share something I've been working on for a while now. Troubleshooting Deep Neural Networks: a decision tree for debugging your model and improving performance. https://t.co/EeGxZ2SKz4
The Google Brain team in Toronto has openings for several research scientists who have already made exceptional contributions to research on deep learning or its applications in NLP, vision, or reinforcement learning. To apply, go to
https://t.co/fYfNjDcm5P
Did you know Skynet the antagonist in the Terminator franchise is actually a neural net based artificial intelligence? It's interesting to see it's nomenclature similar to neural nets developed lately like the AlexNet, VGGNet, GoogleNet etc. Skynet was first introduced in 1984.
Different scientific models can have equivalent observational consequences. In #statistics, this is known as statistical equivalence; in the philosophy of science, underdetermination of theory by #data. This GIF is a really good (and beautiful) #dataviz.
https://t.co/7P8wjdAjgO