Cedric Coward is learning in the defensive deep end as one of NBA’s best rookies

Memphis ranks as a top 15 defensive team overall, but the Grizzlies are 4.4 points better defensively when Coward is on the ...
Hosted on MSN

Mini-batch gradient descent in deep learning explained

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
IEEE

Deep Learning for High-Resolution Remote Sensing Change Detection: Task Taxonomy, Datasets, and Perspectives

Abstract: Change detection (CD) aims to reveal the dynamic evolution of the Earth’s surface by analyzing multitemporal remote sensing imagery, exhibiting significant application value in critical ...
IEEE

Deep Reinforcement Learning for UAV Indoor Navigation Through Task Decomposition

Abstract: Dear Editor, This letter addresses the challenges of sparse and delayed rewards in complex indoor navigation tasks. To this end, we propose a task decomposition-based reinforcement learning ...
Benzinga.com

Elon Musk Had This To Say After Jensen Huang Explained Why No Task Is Beneath Him At The $4.5 Trillion Giant Nvidia: 'I Used To Clean Toilets'

Born in Taiwan, Huang moved to the U.S. at age 9. As a teenager, he took a job as a dishwasher at Denny's — a job he still references when explaining his leadership philosophy. "I used to be a ...