OpenVINO vs Keras: What are the differences?

OpenVINO: A free toolkit facilitating the optimization of a Deep Learning model. It is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance; Keras: Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.

OpenVINO and Keras belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by OpenVINO are:

• Optimize and deploy deep learning solutions across multiple Intel® platforms
• Accelerate and optimize low-level, image-processing capabilities using the OpenCV library
• Maximize the performance of your application for any type of processor

On the other hand, Keras provides the following key features:

• neural networks API
• Allows for easy and fast prototyping
• Convolutional networks support

Keras is an open source tool with 49.2K GitHub stars and 18.5K GitHub forks. Here's a link to Keras's open source repository on GitHub.