PArallel Distributed Deep LEarning
An Easy-to-use, Efficient, Flexible and Scalable Deep Learning Platform
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Diverse Application Scenarios
Promoting 100+ new business products on the line
Computer Vision
Using Convolutional Neural Networks (CNN) for Image Recognition and Object Detection.
Natural Language Understanding
Using Recurrent Neural Network (RNN) for Sentiment Analysis.
Recommender System
Using Deep Learning on Recommendation Systems to Help Users Find Interests.
Technical Features
Ease of use
Provides an intuitive and flexible interface for loading data and specifying model structure.
Flexibility
Supports CNN, RNN and various variants and ease to configure complicated deep models.
Efficiency
Provides extremely optimized operations, memory recycling, network communication.
Scalability
Ease to scale heterogeneous computing resource and storage to accelerate training process.
PaddlePaddle
An Easy-to-use, Efficient, Flexible and Scalable Deep Learning Platform