The Axyon Platform is a finance-focused deep learning platform that allows extremely fast model prototyping and development.
To give context, it’s important to note that the classical approach to deep learning is to use low-level programming libraries to manually code predictive models that then have to be trained, evaluated and tested over never-seen-data. The problem lies in the fact that, while deep learning models easily outperform traditional statistics, they are characterized by a high level of hyperparameters (e.g. network morphology) that require lengthy fine tuning and tests. For this reason, deep learning model development, when done manually, requires a large amount of time. Some deep learning platform are on the market (both free and commercial) but they are focused on artificial vision and image processing (e.g. Nvidia Digits).
The Axyon Platform changes things by providing a web-based interface that allows an extremely fast development and refining process for deep learning models. For example, several tests of concurrent morphologies can be launched with few clicks, cutting development time and improving performances. Additional tools such as dataset visualization, training process stats and tuning, and evaluation metrics are specifically designed for numeric problems, making the Axyon Platform tailored for finance prediction problems.