Artificial Intelligence Based on Tensorflow in Educational Process

This article discusses the problem of using the TensorFlow library for educational purposes. The main idea of the work is to analyze AI software solutions for students supporting based on the TensorFlow framework. Technological prerequisites are described; reviewed the fundamentals of TensorFlow-based AI systems. In this article, we will first illustrate the state of the art in the application of TensorFlow to educational problems. The paper analyzes the existing areas of application of software products based on the TensorFlow library. In conclusion, the classification of application areas of the software, which is based on TensorFlow, is carried out. The methodology for solving this problem is to identify the main types of problems in Artificial Intelligence based on TensorFlow and describing of a main directions TensorFlow-based solutions in Educational Process. Scientific novelty. The article shows that the use of the TensorFlow library for educational purposes, which is based on vectors and matrixes mathematics and Deep Learning, allows the implementation of artificial neural networks principles with Artificial Intelligence methodology.