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Deep Learning

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 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

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 to play Go, and IBM’s chess computer Deep Blue beat the best chess player in the world.... Read more

Data Storage Keeping Pace for AI and Deep Learning

Deep Learning Deep Learningposted by Daniel Gutierrez 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

Overview of the YOLO Object Detection Algorithm

Deep Learning Modeling Deep Learningposted by Daniel Gutierrez September 24, 2018

Let’s review the YOLO (You Only Look Once) real-time object detection algorithm, which is one of the most effective object detection algorithms that also encompasses many of the most innovative ideas coming out of the computer vision research community. Object detection is a critical capability of autonomous vehicle technology.... Read more

Deep Learning Question-Answer Model with Demo

Deep Learning Modelingposted by Priya Dwivedi August 13, 2018

How amazing would be a model that can answer questions from any paragraph by extracting word(s) from the paragraph that are most relevant. Deep learning has made this possible! See below a demo for such a question-answer super model. In this demo you can put in any context up to 300 words... Read more

Why are Convnets Often Better Than the Rest? Part II

Deep Learning Modelingposted by Caspar Wylie, ODSC August 2, 2018

Following on Part I of “Why are Convnets often Better than the Rest?”, we will now look at a traditional neural network’s weakness. As before, I am going to assume you understand the basics of neural network modeling already, including how images are applied to input layers. Through the... Read more

Lessons Learned and Reinforced from Writing My Own Deep Learning Package

Deep Learning Modelingposted by Eric Ma July 13, 2018

At work, I’ve been rolling my own deep learning package to experiment with graph convolutional neural networks. I did this because in graph-centric deep learning, an idea I picked up from this paper, the inputs, convolution kernels, and much more, are being actively developed, and the standard APIs don’t... Read more

Why are Convnets Often Better Than the Rest? Part I

Deep Learning Modelingposted by Caspar Wylie, ODSC June 11, 2018

Introduction In this series, I will explore convolutional neural networks in comparison to standard neural networks. To begin with, the former is an evolution of the latter. Through analyzing this evolution, it is fascinating to see how particular design differences have such a great impact on performance and overall... Read more

Reel Reviews: Neural Networks for Sentiment Analysis

Deep Learning Modelingposted by Win Suen June 5, 2018

This is a joint article authored in collaboration between Kannan Sankaran and Win Suen. The Problem Over the past few years, there has been burgeoning interest in neural networks from data science and engineering communities. The advent of ever larger datasets, efficient commodity hardware, and powerful open source libraries... Read more