I’m assuming that you are somewhat familiar with basic Neural Networks. If you’re not, you may want to head over to Implementing A Neural Network From Scratch, which guides you through the ideas and ...

SGD and BPTT are all implemented from scratch. The following example command allows you to train a model: ./simple_recurrent_neural_network --command train_model --num_threads 30 --data_file data.txt ...

which is remarkable and rare in the literature of neural networks for optimization. Some numerical examples are given to show the effectiveness and excellent performance of the new recurrent neural ...

Abstract: A one-layer recurrent neural network with a discontinuous activation ... assignment is discussed to demonstrate the utility of the neural network. Several simulation examples are given to ...

This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular ...

To illustrate the difference between feedforward and recurrent neural networks, let's look at some examples of tasks and models that use them. A common task that feedforward neural networks can ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

In the present work, we identified an algorithmic neural substrate for modular computation through the study of multitasking artificial recurrent neural networks." The key objective of the recent ...

Starting with basic shapes like squares and triangles, the team created a recurrent neural network (RNN ... can be useful far beyond this first example.” As AI continues to shape the world ...