Deep Learning Guides, Tutorials, Research, and Use-Cases

The Most Influential Deep Learning Research of 2019

Data Science Academic Research Deep Learning Modeling Research Researchposted by Daniel Gutierrez, ODSC December 23, 2019

Deep learning has continued its forward movement during 2019 with advances in many exciting research areas like generative adversarial networks (GANs), auto-encoders, and reinforcement learning. In terms of deployments, deep learning is the darling of many contemporary application areas such as computer vision, image recognition, speech... Read more

Generate Websites with Deep Learning

Business + Management Deep Learning Modeling Deep Learning web designposted by ODSC Community November 26, 2019

This posting discusses how you can generate websites with deep learning. When it comes to software development, there are two types; one is the back-end the other is the front-end development. As the name suggests, back end development is the development that goes on behind the... Read more

Working Towards Planetary Scale Location Insights

Deep Learning Modeling Computer Vision geospatial temporal analysisposted by ODSC Community October 24, 2019

Approaches for making geospatial imagery accessible to (geo)data scientists. This post discusses planetary scale location insights. Recent innovations in agile aerospace have created unique offerings in high cadence satellite imagery. While this is of immense interest to imagery analysts, a significant portion of GIS professionals and... Read more

Generative Adversarial Networks for Finance

Blogs from ODSC Speakers Conferences Deep Learning Modeling Europe 2019 GANsposted by ODSC Community October 17, 2019

This posting discusses generative adversarial network for finance. Financial instruments like options and futures have been around for more than two centuries. Although they became quite notorious during the 2008 stock market turmoil, they serve a real economic purpose for companies around the world. [Related article:... Read more

What You Need to Know about DeepMind’s BSuite

Data Science Academic Research Deep Learning bsuite deepmind Reinforcement Learningposted by Elizabeth Wallace, ODSC October 11, 2019

Imagine this. You know that reinforcement learning has been responsible for some of AI’s most significant advancements. You’re in the exploratory phase of implementing your first project. You’d love a way to evaluate whether your RL agent is appropriate for the task you have, something not... Read more

Behavior Suite for Reinforcement Learning

Data Science Academic Research Deep Learning Modeling bsuite Reinforcement Learningposted by ODSC Team October 9, 2019

A team from DeepMind Technologies—made up of Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezner, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepezvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, and Hado Van Hesselt—has recently published a piece on their new program... Read more

Sequence Modelling with Deep Learning

Blogs from ODSC Speakers Conferences Deep Learning Modeling Europe 2019posted by Natasha Latysheva October 7, 2019

This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use... Read more

Accelerating Deep Learning Recommender Systems by Over 15x Using RAPIDS, PyTorch, and fast.ai

Deep Learning Modeling Tools & Languages Deep Learning rapids Recommender Systemsposted by RAPIDS September 25, 2019

This June, the RAPIDS Deep Learning team took part in the RecSys 2019 Challenge, where we placed 15th out of 1534 teams despite joining the competition in its final weeks. The competition centered around recommending hotel listings to users of the website Trivago, who was the host of the... Read more

Opening The Black Box—Interpretability In Deep Learning

Blogs from ODSC Speakers Conferences Deep Learning Modeling Deep Learning Interpretability Interpretability In Deep Learningposted by ODSC Team September 11, 2019

Editor’s Note: See Joris and Matteo at their tutorial “Opening The Black Box — Interpretability in Deep Learning” at ODSC Europe 2019 this November 20th in London. Why interpretability? In the last decade, the application of deep neural networks to long-standing problems has brought a breakthrough... Read more