You are having difficulties understanding the structure and functioning of neural networks and tracing their interaction with various datasets. Particularly complex, multi-stage neural networks, parameter adjustments, and the application of gradient descent pose problems for you. Additionally, you find it challenging to correctly interpret and analyze different types of data sets. Overfitting and the importance of distributions in the context of neural networks are still unclear to you. Moreover, you are lacking a direct and visually-oriented approach to better understand these concepts.

The tool Playground AI is designed to give you a better understanding of neural networks. Through its interactive and visual approach, it allows you to directly explore the structures and processes of such networks. You can adjust hyperparameters and experiment with different data sets to examine their effects. The tool vividly explains concepts like overfitting and distributions associated with neural networks. By adding your own data, you can also directly see how changes affect the network. Playground AI not only helps you understand the meaning and impacts of weight adjustments and functions, but it also aids in the optimization of these through its predictive capabilities. Therefore, Playground AI is the perfect tool to better comprehend and apply the complexity of neural networks.