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Best Deep Reinforcement Learning Research of 2019 So Far

Academic Research Deep Learning Modeling deep reinforcement learning Reinforcement Learningposted by Daniel Gutierrez, ODSC August 21, 2019

In this article, I’ve conducted an informal survey of all the deep reinforcement learning research thus far in 2019 and I’ve picked out some of my favorite papers. This list should make for some enjoyable summer reading! As we... Read more

What is Implicit Deep Learning?

Conferences Deep Learning Modeling ODSC Speaker Deep Learning implicit deep learning implicit rulesposted by Laurent El Ghaoui August 19, 2019

Editor’s note: Laurent is a speaker for the upcoming ODSC West in California later this year! Be sure to attend his talk there. Prediction rules in deep learning are based on a forward, recursive computation through several layers. Implicit deep learning rules go much beyond, by relying on the... Read more

Watch: Imitation Learning: Reinforcement Learning For The Real World

Conferences Deep Learning Imitation Learning Reinforcement Learningposted by ODSC Team August 19, 2019

This talk will introduce the formal Imitation Learning problem and discuss two main categories of agent training in the Imitation Learning paradigm: behavioral cloning and interactive experts. The talk will also include examples of where it could be used to solve real-world problems and a demonstration of the DAgger... Read more

Latest Developments in GANs

Conferences Deep Learning Modeling GANsposted by Daniel Gutierrez, ODSC August 12, 2019

Generative adversarial networks (GANs) is a compelling technology that’s widely considered one of the most interesting developments in AI and deep learning in the past decade. This article provides an overview of the ODSC West 2018 talk “Latest Developments in GANs,” presented by Seth Weidman of Facebook. The presentation... Read more

Model Evaluation in the Land of Deep Learning

Conferences Deep Learning Modeling model evaluations West 2018posted by Nathaniel Jermain August 12, 2019

Applications for machine learning and deep learning have become increasingly accessible. For example, Keras provides APIs with TensorFlow backend that enable users to build neural networks without being fluent with TensorFlow. Despite the ease of building and testing models, deep learning has suffered from a lack of interpretability; deep... Read more

Deep Learning in R with Keras

Conferences Deep Learning Modeling R Tools & Languages Kerasposted by Daniel Gutierrez, ODSC August 8, 2019

The primary professional hat I wear is as a data science consultant working with machine learning in a variety of problem domains. Due to my academic past in computer science and applied statistics, my development environment of choice today is typically R. Lately however, Python is taking the lead... Read more

Zero to Deep Learning: The Logistics

Conferences Deep Learning Modeling West 2018posted by Nathaniel Jermain August 8, 2019

Deep learning models can be intimidating and rightfully so; in their raw form they are highly complex algorithms that need to be engineered with expertise. However, deep learning is very accessible to individuals with a background in technical skills thanks to organizations and individuals that have packaged deep learning... Read more

Smart Image Analysis for E-Commerce Applications

Accelerate AI Conferences Deep Learning Machine Learning Modeling ODSC Speaker Computer Vision e-commerce image analysis West 2019posted by Abon Chaudhuri August 7, 2019

Editor’s note: Abon is a speaker for ODSC West this Fall! Consider attending his talk, “Computer Vision for E-Commerce: Intelligent Analysis and Selection of Product Images at Scale” then. In e-commerce, the role of product images is critical in delivering satisfactory customer experience. Images help online shoppers gain confidence... Read more

Exploring the Deep Learning Framework PyTorch

Conferences Deep Learning Modeling PyTorch West 2018posted by Nathaniel Jermain July 26, 2019

There are a variety of open-source deep learning frameworks to choose from including Keras, TensorFlow, Caffe2, and MXNet among others. At ODSC West in 2018, Stephanie Kim, a developer at Algorithmia, gave a great talk introducing the deep learning framework PyTorch. Primarily developed by Facebook, PyTorch enables a suite... Read more

Watch: Deep Learning in Real Time

Deep Learning Modeling Deep Learningposted by ODSC Team July 26, 2019

Deep learning provides (relatively) new methods of automating a wide array of tasks historically thought only to be accomplished by the human brain. Applications range from difficult classifications and regressions to natural language understanding and image recognition. With Tyler Freckmann, we will take a tour of different deep learning... Read more