DeepMind, the Google-owned U.K. AI research firm, has published a research letter in the journal Nature in which it discusses the performance of a deep learning model for continuously predicting the future likelihood of a patient developing a [...]
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning Deep Learning on Steroids with the Power of Knowledge Transfer! Dipanjan (DJ) Sarkar Introduction Humans have an inherent ability to transfer [...]
Open Source Deep Learning Frameworks and Visual Analytics Posted by Kai Waehner on April 23, 2017 at 9:00am View Blog Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: [...]
How Deep Learning Will Change Customer Experience Posted by Ronald van Loon on May 7, 2018 at 11:00pm Deep learning is a sub-category within machine learning and artificial intelligence. It is inspired by and based on [...]
MRNet: Deep-learning-assisted diagnosis for knee magnetic resonance imaging Nicholas Bien *, Pranav Rajpurkar *, Robyn L. Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Safwan [...]
Artificial intelligence tracks biological age at every level and rewinds the aging clock Insilico Medicine publishes a new paper presenting the latest advances in artificial intelligence for aging research INSILICO MEDICINE, INC. Monday, December [...]
Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning By Dan Clark, KDnuggets. Here are the top 15 Python libraries across Data Science, Data Visualization. Deep Learning, and Machine Learning. We recently [...]
We all expected that the Summit supercomputer at Oak Ridge National Lab would be a major part of pushing deep learning forward in HPC given its balanced GPU and IBM Power9 profile (not to mention the on-site expertise [...]
Deep Learning: Which Loss and Activation Functions should I use? The purpose of this post is to provide guidance on which combination of final-layer activation function and loss function should be used in a [...]
Summary: If Deep Learning is powered by 2nd generation neural nets. What will the 3rd generation look like? What new capabilities does that imply and when will it get here? By far the fastest expanding frontier [...]