- functioned both a deep learning library which is primarily written in python and a wrapper over Tensorflow and PyTorch
- Designed for the rapid development of deep neural networks without prior knowledge of the data science concept.
- user-friendly, Intuitive, and modular architecture, so that you take less time to learn and invest more time in building models.
- It's open source, so you don't have to worry about bug fixes or improvements on your own, you can work together to develop.
A stepwise guide to set up your SmallTrain
network so you can develop in a few clicks.
We provide documentation to help using SmallTrain.
Documentation can help you to use SmallTrain that has already trained using hi-spec Data science methods and showing good results in every problem you throw at it.
Using SmallTrain is available to achieve the hi-accuracy result
SmallTrain has already trained using hi-spec Data science methods and showing good results in every problem you throw at it.