I am having problems identifying overfitting in the context of neural networks and need a tool for visualization and experimental understanding.

You are having difficulty identifying and understanding overfitting - the excessive adaptation of a model to training data in the context of neural networks. You need an effective and user-friendly tool that not only clearly presents the complexity of multilayer neural networks and how they work, but also offers the opportunity to experiment with different parameters and data. So far, you have lacked the visual support needed in dealing with the mechanisms of gradient descent and distribution understanding. Moreover, it is important for you to understand and anticipate the effects of changes in weights and functions on the performance of the neural network. Playground AI, with its extensive visualization options and experimental features, might represent the solution you need.

Playground AI can expand your understanding of multi-tier neural networks by visually presenting complex concepts and allowing you to experimentally manipulate various parameters and data. Using its prediction functions, you can observe and understand how changes to weights and functions affect the performance of the neural network. Additionally, Playground AI aids you in detecting and understanding overfitting by providing the opportunity to experiment with various datasets or introduce your own data. Furthermore, the tool supports visual understanding of distributions and gradient descent. Thus, Playground AI imparts the necessary knowledge and skills needed for effective experimentation and work with neural networks.