CrowdChat: Deep learning and Apache Spark

Join @JamesKobielus Wednesday to chat about #SparkDeepLearning:

  • Join our CrowdChat about deep learning and Apache Spark to find out what’s going on in the world of Spark-and what’s coming up.
  • The CrowdChat, hosted by @IBMBigData , will bring together subject matter experts who will focus on the latest tech and trends in deep learning as well as their overlap with Apache Spark.
  • A CrowdChat simply organizes tweets into streams of conversation.
  • You’ll even be able to vote for your favorite comments so that they can be featured more prominently in the conversation.
  • If the event will be your first experience with CrowdChat, don’t worry.

In this CrowdChat, join 11 experts from inside and outside IBM as you take part in a group exploration of the issues and possibilities that arise at the conjunction of Apache Spark and deep learning.
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NVIDIA TensorRT

New NVIDIA TensorRT delivers high-performance #deeplearning inference runtime:

  • NVIDIA TensorRT@” is a high performance neural network inference engine for production deployment of deep learning applications.
  • Generate optimized, deployment-ready models for inference
  • Define and implement unique functionality using the custom layer API
  • Deploy neural networks in full (FP32) or reduced precision (INT8, FP16)
  • TensorRT can be used to rapidly optimize, validate and deploy trained neural network for inference to hyperscale data centers, embedded, or automotive product platforms.

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Deep Learning Frameworks

New #cuDNN 5.1, 2.7x faster training of #deeplearning networks with 3x3 convolutions.

  • Deep learning course: Getting Started with the Caffe Framework
  • Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.
  • Chainer is a deep learning framework that’s designed on the principle of define-by-run.
  • Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Read the full article, click here.


@GPUComputing: “New #cuDNN 5.1, 2.7x faster training of #deeplearning networks with 3×3 convolutions.”


The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as Caffe, CNTK, TensorFlow, Theano and Torch as well as many other deep learning applications. Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.


Deep Learning Frameworks