Examples

Basics

You can learn TensorLayerX quickly from the following two examples:

• Multi-layer perceptron (MNIST), simple usage and supports multiple backends. Classification task, see mnist_mlp.py.

• Convolutional Network (CIFAR-10), simple usage and supports multiple backends. Classification task, see cifar10_cnn.py.

Resources

More official tutorials can be found in the resources below:

• [Examples](https://github.com/tensorlayer/TensorLayerX/tree/main/examples) for tutorials

• [GammaGL](https://github.com/BUPT-GAMMA/GammaGL) is series of graph learning algorithm

• [TLXZoo](https://github.com/tensorlayer/TLXZoo) a series of pretrained backbones

• [TLXCV](https://github.com/tensorlayer/TLXCV) a series of Computer Vision applications

• [TLXNLP](https://github.com/tensorlayer/TLXNLP) a series of Natural Language Processing applications

• [TLX2ONNX](https://github.com/tensorlayer/TLX2ONNX/) ONNX model exporter for TensorLayerX.

• [Paddle2TLX](https://github.com/tensorlayer/paddle2tlx) model code converter from PaddlePaddle to TensorLayerX.