Scaling Keras Model Training to Multiple GPUs

Features, Deep Learning, Keras, MxNet

Nadeem Mohammad, posted Aug 16 2017

Keras is a powerful deep learning meta-framework which sits on top of existing frameworks such as TensorFlow and Theano. Keras is highly productive for developers; it often requires 50% less code to define a model than native APIs of deep learning

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AI Algorithm Monitors Sleep With Radio Waves

Research, cuDNN, GeForce, Higher Education/Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Aug 11 2017

To help diagnose and monitor people with sleep disorders, researchers from MIT and Massachusetts General Hospital developed a device that uses an advanced artificial intelligence algorithm to analyze the radio signals around the person and translate

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NVIDIA Gives Away More V100s to AI Researchers

Events, Research, Higher Education/Academia, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Aug 09 2017

After surprising some of the top AI researchers with the first Tesla V100 GPU accelerators last month at CVPR, NVIDIA struck again by handing out 15 more to researchers at the International Conference on Machine Learning (ICML) in Sydney.  Given out

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NVIDIA Deep Learning SDK Update for Volta Now Available

News, Research, cuDNN, Machine Learning & Artificial Intelligence, NCCL, Tesla

Nadeem Mohammad, posted Aug 08 2017

At GTC 2017, NVIDIA announced Volta optimized updates to the NVIDIA Deep Learning SDK. Today, we’re making these updates available as free downloads to members of the NVIDIA Developer Program.

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Scaling TensorFlow and Caffe to 256 GPUs

Research, Cluster/Supercomputing, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Aug 08 2017

IBM Research unveiled a “Distributed Deep Learning” (DDL) library that enables cuDNN-accelerated deep learning frameworks like TensorFlow, Caffe, Torch and Chainer to scale to tens of IBM servers leveraging hundreds of GPUs.

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