I am looking for an interactive learning resource that helps me better understand how neural networks and machine learning work. Particularly important to me is understanding the functionality of multilayer neural networks, gradient descent, distributions and overfitting. It would be important that I can experiment with various datasets and implement my own data. In addition, the tool should enable me to make changes to the weights and functions in the operation of the neural network and to understand. A prediction function that shows me how these changes affect the network would also be extremely helpful.

Playground AI is the perfect tool to meet your requirements. It offers an interactive platform specifically developed to expand and deepen your knowledge about neural networks. It enables you to better understand the mechanisms of multi-layer neural networks, gradient descent, distributions, and overfitting through a visually oriented approach. It also allows you to experiment with various available data sets or even introduce your own data. Playground AI also offers a function for adjusting the weights and functions of the network, so you can see and understand the changes and their effects on the network. It also has a prediction feature that shows how these changes affect the network. With Playground AI, you therefore have a resource at hand that makes learning and experimenting with neural networks and machine learning easy and efficient.