Description
In this session you will learn various optimization methods to improve the runtime performance of Deep Learning algorithms on Intel® architecture. We cover how to accelerate the training of deep neural networks with Tensorflow, thanks to the highly optimized Intel® Math Kernel Library (Intel® MKL). We also demonstrate techniques on how to leverage deep neural network training on multiple nodes on a HPC cluster.
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17/11/2020, 13:00
- Performance optimized Frameworks solutions from Intel Tensorflow, Caffe, Pytorch, and others
- Performance acceleration with Intel MKL and Intel MKL-DNN for Deep Neural Network
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17/11/2020, 16:00
- Distributed Tensorflow with Horovod
- Distributed Machine Learning with Daal4py