What pre-trained models does the PaddlePaddle framework offer?
The PaddlePaddle framework offers a variety of common pre-trained models, including but not limited to:
- Residual Neural Network (ResNet)
- The MobileNet model
- DenseNet is a compact and efficient neural network model.
- AlexNet is a convolutional neural network.
- Visual Geometry Group
- The entity known as GoogLeNet
- You only live once
- Speedier R-CNN
- Solid State Drive
- DeepLab is a semantic image segmentation model.
These pre-trained models can be directly used in the PaddlePaddle framework, making it easy for users to perform transfer learning or fine-tuning on their own datasets. Additionally, PaddlePaddle also provides some common datasets and evaluation metrics to help users quickly build and evaluate their models.
