Why Tesla Invented A New Neural Network

Recently, Tesla filed a patent called'Systems and methods for adapting a neural network on a hardware platform.' In the patent, they described the systems and methods to select a neural network model configuration that satisfies all constraints. According to the patent, the constraints mainly include an embodiment that computes a list of valid configurations and a constraint satisfaction solver to classify valid configurations for the particular platform, where the neural network model will run efficiently. Neural network models are increasingly relied upon for different problems due to the ease at which they can label or classify the input data. Different neural networks are trained with different hyperparameters, and then they are used to analyse the same validation training set.