Aprenda os fundamentos do uso de algoritmos de aprendizado profundo em várias cargas de trabalho de robótica.
Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL) in Linux*The Intel® Data Analytics Acceleration Library (Intel® DAAL) 1, 2 is a software solution for data analytics. It provides building blocks for data preprocessing, transformation, modeling, predicting, and so on.
The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.
Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) . It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL)  to improve the performance of an NB algorithm.
How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
Get recipes for installing development tools and libraries on various platforms for the Python library.