Deep Learning Archives - Page 2 of 14 - Open Data Science - Your News Source for AI, Machine Learning & more

Create Your First Face Detector in Minutes Using Deep Learning

Deep Learning Modeling Deep Learning Face Detectionposted by Ralabs December 27, 2018

Face detection is one of the most widely-demanded subfields of computer vision. Due to the advent of deep learning, computer vision has gained significant development in the last few years, and this trend is only going to increase over time. There are more and more people using computer vision... Read more

New Approaches Apply Deep Learning to Recommender Systems

Deep Learning Deep Learning ODSC Recommender Systemsposted by Daniel Gutierrez, ODSC December 6, 2018

Oliver Gindele is Head of Machine Learning at Datatonic. At ODSC Europe 2018, he spoke about how to apply deep learning techniques to recommender systems. He discussed how data scientists can implement some of these novel models in the TensorFlow framework, starting from a collaborative filtering approach and extending... Read more

Layer-wise Relevance Propagation Means More Interpretable Deep Learning

Conferences Deep Learning Conferences Deep Learning ODSC Europeposted by Daniel Gutierrez, ODSC December 5, 2018

Wojciech Samek is head of machine learning for Fraunhofer Heinrich Hertz Institute. At ODSC Europe 2018, he spoke about an active area of research in deep learning: interpretability. Samek launched his lecture with the following preface on the rising importance of interpretability of deep learning models: “In the last number of... Read more

At NVIDIA, Deep Learning Gets Deeper

Deep Learningposted by Spencer Norris, ODSC December 3, 2018

Alison Lowndes and her team at NVIDIA are finding exciting new ways to handle the demands deep learning places on machines — and even more exciting ways to use the new technology. At ODSC London 2018, Alison Lowndes of NVIDIA gave a talk on how advances in graphics processing... Read more

Mail Processing with Deep Learning: A Case Study

Conferences Deep Learning Conferences Deep Learning Machine Learning ODSC Europeposted by Paxtyn Merten November 29, 2018

Businesses increasingly delegate simple, boring, and repetitive tasks to artificial intelligence. In a case study, Alexandre Hubert — lead data scientist of software company Dataiku’s U.K. operations — worked on a team of three to automate mail processing with deep learning. At ODSC Europe 2018, Hubert detailed how his team... Read more

Efficient, Simplistic Training Pipelines for GANs in the Cloud with Paperspace

Deep Learning Modeling Cloud GANs Generative adversarial networks Paperspaceposted by Spencer Norris, ODSC October 31, 2018

Generative adversarial networks — GANs for short — are making waves in the world of machine learning. Yann LeCun, a legend in the deep learning community, said in a Quora post “ the most interesting idea in the last 10 years in .” GANs (and, more generally,... Read more

Why are Convnets Often Better Than the Rest? Part III

Deep Learning Modelingposted by Caspar Wylie, ODSC October 9, 2018

This is the third part in a series on Convnets. Read the first part here and the second part here. Shared weights The shared weight design is exactly why convolutional nets (Convnets for short) are good at detecting the same features in different parts of an image. When I mentioned shared... Read more

Getting to Know Keras for New Data Scientists

Deep Learning Deep Learning Kerasposted by Daniel Gutierrez, ODSC October 9, 2018

For many new data scientists transitioning into AI and deep learning, the Keras framework is an efficient tool. Keras is a powerful and easy-to-use Python library for developing and evaluating deep learning models. In this article, we’ll lay out the welcome mat to the framework. You should walk away with... Read more

How 300 Matchboxes Learned to Play Tic-Tac-Toe Using MENACE

Deep Learning Modelingposted by Caspar Wylie, ODSC October 5, 2018

Note: All images below are used with permission from Chalk Dust Magazine. Please see their article here. Using machine learning to play games has always been an excellent way to understand and evolve learning models. In the last ten years, Google DeepMind managed to train a convolutional neural network... Read more

Data Storage Keeping Pace for AI and Deep Learning

Deep Learning Deep Learningposted by Daniel Gutierrez, ODSC October 2, 2018

Data is the new currency driving accelerated levels of innovation powered by AI. Enterprises require modern data storage architectures purpose-built for deep learning and designed to shorten the time to insights while simplifying complex big data pipelines. Continuing to use legacy storage systems, however, will introduce serious complications in... Read more