Solve the following differential equation for y: You have 30 seconds. Quick! No dallying. The answer, of course, is: If you were unable to find a solution, don’t feel too bad.

The point is that when you're using a neural network library, such as Microsoft CNTK or Google TensorFlow, exactly how L1 regularization is implemented can vary. This means an L1 lambda that works ...

Jianhong Wu, Symmetric Functional Differential Equations and Neural Networks with Memory, Transactions of the American Mathematical Society, Vol. 350, No. 12 (Dec., 1998), pp. 4799-4838 ...

The Data Science Lab Neural Network Regression from Scratch Using C# Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction ...

In 2020, the team solved this by using liquid neural networks with 19 nodes, so 19 neurons plus a small perception module could drive a car. A differential equation describes each node of that system.