Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...
Abstract: Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network architectures ...
Abstract: The forecasting of stock prices is considered to be one of most challenging problems in financial domain. Artificial Neural Networks (ANNs) are widely used for forecasting stock price ...