What are the key features of Torch?

The core features of Torch include:

1. Powerful deep learning library: Torch offers a variety of deep learning tools and libraries, such as neural network models, optimization algorithms, loss functions, etc., which can help users quickly build and train deep learning models.
2. Dynamic Graph Mechanism: Torch employs a dynamic calculation graph, which enables users to flexibly adjust the model structure during the model construction process, making it more convenient to conduct experiments and debugging.
3. Torch offers a user-friendly interface that allows users to easily perform deep learning tasks without needing to delve into the underlying implementation details.
4. Cross-platform support: Torch supports multiple operating systems including Linux, Windows, and macOS, and also provides acceleration libraries for different hardware platforms such as CUDA and OpenCL.
5. Community support and abundant resources: Torch boasts a large user community and active developer team, with users able to access various tutorials, sample codes, and model libraries from the community to speed up the learning and development process.