Neural Networks
Rindow Neural Networks is a high-level neural networks library for deep learning. The development environment can be as small as possible, developed on a common laptop, and uploaded to a common web server. The goal is to have many people use machine learning.
Mathematics
Rindow math libraries efficiently supports matrix operations in PHP. Get even faster the processing speed with dedicated C libraries. The results can also be displayed in graphs in an easy-to-view format. Realistic data analysis can be performed without using Python or R.
Framework
Rindow framework's Inversion of Control (IoC), Dependency injection (DI) and Aspect Oriented Programming (AOP) features provide the basis for a wide range of features. All forms of PHP applications can be created as parts and provided as modules that can be exchanged at any time.
Off the chain
Everyone will tell us, "Do you have to use PHP for machine learning?". Experience the processing speed of Rindow. Experience the portability of Rindow. Here is the answer. Let's be released from common sense and step into a new world.
Decluttering
Are those who ridicule Monolith escaped from the module spells? Are you stuck in the old parts combination? The essence of modularization is neither reuse nor distributed development. Separating and discarding parts keeps the whole system healthy. Experience deculture in Rindow.
Interoperability
Rindow aims to replace itself with others. What remains when it is gone is the definition of the interface. We are creating everything with the goal of defining interfaces that are independent of Rindow. Want to join a new standard?
