Given a (piece-wise) differentiable loss function, and a gradient-based algorithm to minimize it, the knowledge of the second-order information about it can tell us
Tag: Deep Learning
Deep learning based software defect prediction
The complexity of modern software systems is increasing, and the resulting software applications often contain defects that can have severe negative impacts on the
Deep Learning for Self-Driving Cars – Lecture 1 and 5
Deep Learning for Self-Driving Cars (2018 version) Lecture 1 and 5 Deep learning: Set of techniques that have worked well for AI techniques in
Deep Learning Tutorial with Python & Machine Learning with Neural Networks | Udemy
In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Udemy instructor Frank Kane helps de-mystify the world of
Deep learning for lung Cancer detection and classification | Article
Lung cancer is one of the most important deadly diseases in the world. The recent estimates provided by the World Health Organization (WHO) says
New World AI reveals the most influential articles for 2020 related to Deep Learning
The most highly-cited articles published in Web of Science Database in 2020 related to “Deep Learning” are below. 1. False-Negative Results of Real-Time Reverse-Transcriptase
CS230 Deep Learning Lectures | Stanford Engineering
Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning,
High-resolution 3D MR Fingerprinting Using Parallel Imaging and Deep Learning | Article
MR Fingerprinting (MRF) is a relatively new imaging framework for MR acquisition, reconstruction, and analysis, which can provide rapid, efficient and simultaneous quantification of
Power & Limits of Deep Learning – Yann LeCun
At a workshop on AI and the Future of Work earlier this month, Yann LeCun, Director of AI Research at Facebook and Founding Director
Future of Intelligence (Ray Kurzweil)
Ray Kurzweil, Director of Engineering, Google, author, computer scientist, inventor and futurist, attended MIT 6.S099: Artificial General Intelligence class as a guest talk at Massachusetts Institute of Technology (MIT). MIT