"recursive2.py" - this is the main Python file, you should start from here "function.png" - figure of time series "prediction1.png" - figure demonstrating the prediction performance of the trained ...

This repository contains layers helpful for building Graph Neural Networks (GNNs). The layers are implemented using only Keras backend-agnostic operations, which means they can be used with any ...

Graph neural networks have -enabled the application of deep learning to problems that can be described by graphs, which are found throughout the different fields of sci-ence, from physics to biology, ...

This book also shows you how to create neural networks with TensorFlow, runs through popular ... This hands-on machine learning book is for Python developers and data scientists who want to build ...