Neural-Net-with-Financial-Time-Series-Data is an open source software project using endogenous factors to predict daily log return of financial asset. The project includes serveral technical ...

Deep Learning, a subset of machine learning, is revolutionizing technology with its ability to process and learn from vast amounts of data. For enthusiasts and professionals alike, YouTube has become ...

Training neural networks to perform different tasks is relevant across various disciplines. In particular, Recurrent Neural Networks (RNNs) are of great interest in Computational Neuroscience.

In the rapidly advancing realm of Artificial Intelligence (AI), the sophistication of our daily digital companions—ranging from spam filters to chatbots and personalized recommendation engines—is ...

Back in the old days, traditional phrase-based translation systems performed their task by breaking up source sentences into multiple chunks and then translated them phrase-by-phrase. This led to ...

Despite being quite effective in a variety of tasks across industries, deep learning is constantly evolving, proposing new neural network (NN) architectures such as the Spiking Neural Network (SNN).