Tag: Apache MXNet

This is a guest post by Cambron Carter, Director of Engineering, and Iris Fu, Computer Vision Scientist at GumGum. In their own words, “GumGum is an artificial intelligence company with deep expertise in computer vision, which helps their customers unlock the value of images and videos produced daily across the web, social media, and broadcast […]

Apache MXNet is an effort undergoing incubation at the Apache Software Foundation (ASF). Last week, the MXNet community introduced a release candidate for MXNet v0.11.0, its first as an incubating project, and the community is now voting on whether to accept this candidate as a release. It includes the following major feature enhancements: A Core […]

This is a guest post by Jaeyoung Choi of the International Computer Science Institute and Kevin Li of the University of California, Berkeley. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Modern mobile devices can automatically assign geo-coordinates to images when you take pictures of […]

The AWS Deep Learning AMI lets you build and scale deep learning applications in the cloud, at any scale. The AMI comes pre-installed with popular deep learning frameworks, to let you to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques. The latest release of the AWS Deep […]

Have you ever wondered how you can use machine learning (ML) for translation? With our new framework, Sockeye, you can model machine translation (MT) and other sequence-to-sequence tasks. Sockeye, which is built on Apache MXNet, does most of the heavy lifting for building, training, and running state-of-the-art sequence-to-sequence models. In natural language processing (NLP), many […]

In the past five years, deep neural networks have solved many computationally difficult problems, particularly in the field of computer vision. Because deep networks require a lot of computational power to train, often using tens of GPUs, many people assume that you can run them only on powerful cloud servers. In fact, after a deep […]

You can now use Apache MXNet v0.10 and TensorFlow v1.1 with the AWS Deep Learning AMIs for Amazon Linux and Ubuntu. Apache MXNet announced version 0.10, available at http://mxnet.io, with significant improvements to documentation and tutorials including updated installation guides for running MXNet on various operating systems and environments, such as NVIDIA’s Jetson TX2. In […]

This year at NVIDIA’s GPU Technology Conference, AWS and NVIDIA partnered on multiple initiatives. The first is an exciting new Volta-based GPU instance that we think will completely change the face of the AI developer world through a 3x speedup on LSTM training. Second, we are announcing plans to train 100,000+ developers through the Deep […]

  Join Julien Simon, Principal Technical Evangelist at Amazon Web Services, on May 9 for an evening of AI and Deep Learning hosted by the AWS User Group Dublin. The event will feature Amazon Lex, Amazon Polly, and Amazon Rekognition. Julien will take participants on a journey through Deep Learning with AWS covering AI theory to […]

This year at NVIDIA’s GPU Technology Conference, AWS is hosting several tech sessions ranging from how to get started with Apache MXNet to running deep learning on IoT devices on the edge. If you’re in Silicon Valley the week of May 8, we hope that you’ll join us for the following sessions. An Introduction to […]