PaddlePaddle 3.0
Train & Deploy Large AI Models, Faster
Listed in categories:
Artificial IntelligenceOpen SourceDevelopment
Description
PaddlePaddle is an open-source deep learning platform that originated from industrial practice, dedicated to facilitating innovations and applications of deep learning. It provides a comprehensive suite of tools and frameworks for developing, training, and deploying deep neural networks across various industries.
How to use PaddlePaddle 3.0?
To get started with PaddlePaddle, users can quickly install the platform on their operating system, access online development platforms, and utilize step-by-step solutions for machine learning problems. The platform supports various programming environments and offers extensive documentation for guidance.
Core features of PaddlePaddle 3.0:
1️⃣
Agile framework for developing deep neural networks
2️⃣
Ultra-large scale training capabilities
3️⃣
High-performance inference engines
4️⃣
Access to a model zoo with industry-oriented models
5️⃣
End-to-end development kits for various applications
Why could be used PaddlePaddle 3.0?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Real-time rail flaw detection in transportation | ✅ | |
| # 2 | Optimizing power battery quality inspection in manufacturing | ✅ | |
| # 3 | Accurate agricultural land detection through model training | ✅ | |
Who developed PaddlePaddle 3.0?
PaddlePaddle is developed by Baidu, a leading technology company in AI and deep learning, committed to advancing the field through open-source contributions and community engagement.