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BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Autor Sunny G. (Intel) Última actualización 11/03/2019 - 13:17
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Training an Agent to Play Pong* Using neon™ Framework

This article showcases the implementation of an agent to play the game Pong* using an Intel® architecture-optimized neon™ framework, and to serve as an introduction to the Policy Gradients algorithm.
Autor Kaustav Tamuly Última actualización 18/06/2018 - 16:10
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TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.

Autor Michael Steyer (Intel) Última actualización 11/03/2019 - 13:17
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Code Sample: Intel® AVX512-Deep Learning Boost: Intrinsic Functions

How developers can use to take advantage of the new Intel® AVX512-Deep Learning Boost (Intel® AVX512-DL Boost) instructions.
Autor Alberto V. (Intel) Última actualización 02/04/2019 - 10:04
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Caffe* Scoring Optimization for Intel® Xeon® Processor E5 Series

    In continued efforts to optimize Deep Learning workloads on Intel® architecture, our engineers explore various paths leading to the maximum performance.

Autor Gennady F. (Blackbelt) Última actualización 15/10/2019 - 16:50