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 the IMDB film review
Analyze user characteristics, movie features, rating scores, predict new users' ratings for different movies
PaddlePaddle provids an intuitive and yet flexible interface for loading data and specifying model structure
PaddlePaddle supports CNN, RNN and other neural network structure and optimization algorithm. It is easy to configure complex models
In order to unleash the power of heterogeneous computing resource, optimization occurs at different levels of PaddlePaddle, including computing, memory, architecture and communication.
With PaddlePaddle, it is easy to use many CPUs/GPUs and machines to speed up your training, Easily deal with large-scale data training needs
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