Learning deep neural networks

该项目是由专注于开发视觉搜索和信息检索技术的加拿大领先公司slice Inc.和多伦多大学Salakhutdinov博士的机器学习实验室合作完成的。该项目将通过构建深度学习模型和卷积神经网络来提高Slyce当前视觉搜索技术的可扩展性，以更好地处理属于数千个产品类别的数百万张产品图像。

The project is a collaborative effort between Slyce Inc., a leading Canadian company that focuses on developing visual search and information retrieval technology, and the University of Toronto's Dr. Salakhutdinov's Machine Learning Lab. The project will improve the scalability of Slyce's current visual search technology by means of building Deep Learning Models and Convolutional Neural Networks to better handle millions of product images, belonging to thousands of product classes.