Gradient Flow

Tag: deep learning

  • One Simple Chart: Computational Limits of Deep Learning

    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.,…

    One Simple Chart: Computational Limits of 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…

    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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…