While deep learning proceeds to set records across a variety of tasks and benchmarks, the amount of computing power needed is becoming prohibitive. A recent paper – “The Computational Limits of Deep Learning” – from M.I.T., Yonsei University, and the University of Brasilia, estimates of the amount of computation, economic costs, and environmental impact thatContinue reading “One Simple Chart: Computational Limits of Deep Learning”
Tag Archives: deep learning
Understanding the Ray ecosystem and community
Ray is both a general purpose distributed computing platform and a collection of libraries targeted at machine learning and other workloads. By Ben Lorica and Ion Stoica. [This post originally appeared on the Anyscale blog.] Ray is usually described as a distributed computing platform that can be used to scale Python applications with minimal effort.Continue reading “Understanding the Ray ecosystem and community”
How to train and deploy deep learning at scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning. In this episode of the Data Show, I spoke with Ameet Talwalkar, assistant professor of machine learning at CMU and co-founder of Determined AI. He was an early and key contributor to Spark MLlibContinue reading “How to train and deploy deep learning at scale”
Why AI and machine learning researchers are beginning to embrace PyTorch
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Soumith Chintala on building a worthy successor to Torch and deep learning within Facebook. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Why AI and machine learning researchers are beginning to embrace PyTorch”
Building a next-generation platform for deep learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Naveen Rao on emerging hardware and software infrastructure for AI. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In thisContinue reading “Building a next-generation platform for deep learning”
Data science and deep learning in retail
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Data science and deep learning in retail”
Scaling machine learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Reza Zadeh on deep learning, hardware/software interfaces, and why computer vision is so exciting. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Scaling machine learning”
Deep learning that’s easy to implement and easy to scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Deep learning that’s easy to implement and easy to scale”
Deep learning for Apache Spark
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jason Dai on BigDL, a library for deep learning on existing data frameworks. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud,Continue reading “Deep learning for Apache Spark”
The key to building deep learning solutions for large enterprises
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. AsContinue reading “The key to building deep learning solutions for large enterprises”