In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)
Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective
Deep neural networks are capable of amazing levels of representation power resulting in state-of-the-art accuracy in areas such as computer vision, speech recognition, natural language processing,
深度神经网络具备出色的高级表达功能，并在诸多领域展示了一流的准确性，如计算机视觉、语音识别、自然语言处理以及各种数据分析领域。 深度网络需要训练大量的计算。 英特尔正在优化常见的框架，如 Caffe*、TensorFlow* 和 Theano* 等，以显著提升性能，缩短单个节点的训练总时间。 英特尔还在增强上述框架的多节点分布式训练功能，以在多个节点间分享计算要求，进一步缩短训练时间。
One of the biggest draws to Python* is that it’s easy to learn and use. But it’s also notorious for being too slow for high-performance, compute-intensive applications.
This webinar focuses on introducing the audience to Natural Language Processing (NLP) Architect, a Python* library from the Intel® AI Lab for exploring the state-of-the-art deep learning topologies