Even though many people are interested in machine learning and neural networks, some find it difficult to understand the complex processes and technical terms. In particular, multi-stage neural networks, the operation of gradient descent, distributions, and the problem of overfitting can pose a real obstacle for laypersons or beginners. Additionally, learning is made more difficult due to the lack of interactive and visually appealing tools which illustrate the concept. There is also a need to alter different hyperparameters oneself and to observe the impacts on the model in order to deepen learning. Finally, some users wish to experiment with their own data to better understand the workings of neural networks.

Playground AI is an efficient, interactive tool that enables individual learning by providing a visual and practical understanding of complex concepts such as multi-layer neural networks and gradient descent. It presents the concept of machine learning in an engaging visual format, making technical terms and processes easier to understand. By being able to change hyperparameters themselves and observe the resulting impacts on the model, users can gain deep insights. Playground AI has prediction capabilities that enable to detect the influence of changes in weights and functions on the functionality of a neural network. In addition, users can experiment with their own data and view the results in real-time to better understand the process and functioning of neural networks. Thus, Playground AI serves not only as a learning tool, but also as a powerful experimental field for those interested in machine learning. With Playground AI, learning about machine learning and neural networks is simplified and made much more accessible.