GitHub

Keras: Deep Learning library for TensorFlow and Theano

Allows for easy and fast prototyping (through total modularity, minimalism, and extensibility). Supports both convolutional networks and recurrent networks, as well as combinations of the two.
GitHub

how-can-i-use-the-python-keras-library-to-build-a-deep-learning-model.md

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. The core data ...
Visual Studio Magazine

Introduction to Keras with TensorFlow

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...
IEEE

Development of Predictive Emissions Monitoring System Using Open Source Machine Learning Library – Keras: A Case Study on a Cogeneration Unit

Abstract: The study provides an overview of Predictive Emissions Monitoring System's (PEMS) research, application, installation, and regulatory framework as well as develops predictive models for NOx ...
IEEE

RTNNIgen – An Open-Source PLC Library and Python Generator Converting Keras Models to Realtime Capable Structured Text

Abstract: Recent advances in AI research are boosting the relevance of realtime neural networks in automation technology. To facilitate the deployment of trained neural networks for realtime ...