Microsoft Cognitive Toolkit vs Tensorflow Lite: What are the differences?
What is Microsoft Cognitive Toolkit? An open-source toolkit for deep learning. It is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph.
What is Tensorflow Lite? Deploy machine learning models on mobile and IoT devices. It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.
Microsoft Cognitive Toolkit and Tensorflow Lite can be categorized as "Machine Learning" tools.
Some of the features offered by Microsoft Cognitive Toolkit are:
- Speed & Scalability
- Commercial-Grade Quality
- Easy-to-use architecture
On the other hand, Tensorflow Lite provides the following key features:
- Lightweight solution for mobile and embedded devices
- Enables low-latency inference of on-device machine learning models with a small binary size
- Fast performance
Microsoft Cognitive Toolkit is an open source tool with 16.7K GitHub stars and 4.41K GitHub forks. Here's a link to Microsoft Cognitive Toolkit's open source repository on GitHub.
