Deep reinforcement learning (DRL) is a machine learning method based on rewards, which can be extended to solve some complex and realistic decision-making problems. Autonomous driving needs to deal ...

Deep learning can achieve higher accuracy than traditional machine learning algorithms in a variety of machine learning tasks. Recently, privacy-preserving deep learning has drawn tremendous attention ...

Another Chinese Translation of Neural Networks and Deep Learning This is another (work in progress) Chinese translation of Michael Nielsen's Neural Networks and Deep Learning, originally my learning ...

Updated 19 June 2025 at 19:54 IST Samudrayaan Mission: NIOT To Conduct Matsya-6000 Second Series Harbour Tests For India's Manned Deep Sea Exploration Matsya-6000 submersible, part of India's ...

Python is the most widely used programming language for data science. It’s simple, easy to understand, and clean. GitHub states that over 80% of data science projects used Python last year. It has ...

Background Predicting the final infarct after an extended time window mechanical thrombectomy (MT) is beneficial for treatment planning in acute ischemic stroke (AIS). By introducing guidance from ...

Learning Deformable Tetrahedral Meshes for 3D Reconstruction: Use Kaolin's DefTet volumetric renderer, tetrahedral losses, camera_functions, mesh operators and conversions, ShapeNet dataset, ...