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易用、高效、灵活、扩展性好
为用户提供了直观、灵活的数据接口和模型配置接口
支持CNN、RNN等多种神经网络结构和优化算法。简单书写配置文件即可实现复杂模型
在计算、存储、通信、架构等方面都做了高效优化,充分发挥各种资源的性能
全面支持多核、多GPU、多机环境。轻松应对大规模数据训练需求
易用、高效、灵活、扩展性好
为用户提供了直观、灵活的数据接口和模型配置接口
支持CNN、RNN等多种神经网络结构和优化算法。简单书写配置文件即可实现复杂模型
在计算、存储、通信、架构等方面都做了高效优化,充分发挥各种资源的性能
全面支持多核、多GPU、多机环境。轻松应对大规模数据训练需求
Easy to use, efficient, flexible, and scalable
The convoluted neural network can identify the main object in the image and output the classification result
Using the LSTM network to analyze the positive and negative aspects of the commenter's emotions from IMDB film review
Analyze user characteristics, movie features, rating scores, predict new users' ratings for different movies
Provids an intuitive and flexible interface for loading data and specifying model structure.
Supports CNN, RNN and other neural network. Easy to configure complex models.
Efficient optimization of computing, memory, communications and architecture.
Easy to use many CPUs/GPUs and machines to speed up your training and handle large-scale data easily.
Easy to use, efficient, flexible, and scalable
The convoluted neural network can identify the main object in the image and output the classification result
Using the LSTM network to analyze the positive and negative aspects of the commenter's emotions from IMDB film review
Analyze user characteristics, movie features, rating scores, predict new users' ratings for different movies
Provids an intuitive and flexible interface for loading data and specifying model structure.
Supports CNN, RNN and other neural network. Easy to configure complex models.
Efficient optimization of computing, memory, communications and architecture.
Easy to use many CPUs/GPUs and machines to speed up your training and handle large-scale data easily.