How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Get recipes for installing development tools and libraries on various platforms for the Python library.
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
如何面向英特尔® 架构优化 Caffe*，训练深度网络模型及部署网络。
训练工具是一款在 Linux* 服务器上运行的 web 应用，为构建和训练深度学习模型提供了一个易用且直观的界面。借助英特尔深度学习 SDK 训练工具，您可以轻松地准备训练数据，设计模型并通过自动化实验和高级可视化训练模型。其次，简化针对英特尔平台优化的常用深度学习框架的安装和使用。
This tutorial will show how to combine the data provided by TensorFlow*.timeline with options available in one of the most powerful performance profilers for Intel® Architecture – Intel® VTune™ Amplifier.
This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
Learn about Capsule networks (CapsNet), are an advanced approach to previous neural network designs