Mljs is an organization that developed ml.js library. This library is a collection of tools developed by the mljs organization. It includes a vast collection of tools for different categories such as unsupervised learning, supervised learning, artificial neural networks, regression, optimization, statistics, data processing, and math utilities.
ConvNetJS implementation of neural networks supported modules are
1. Classification regression
2. Experimental Reinforcement Learning module
3. Convolutional networks that process images.
Deeplearnjs library provides the capability to train neural networks in a browser and run pre-trained models in interface modes, and also claims to be used as a Numpy for the web. It's easy to pick up an API and used for a variety of useful mil applications and is actively maintained.
TensorFlow is an end-to-end open-source library for machine learning and data processing. It has a comprehensive, flexible ecosystem for numerical computation and large-scale machine learning and developers easily build their massive datasets to give users the best experience for ML-powered applications. Also, the combination of Keras and TensorFlow libraries can be harnessed by the providers of chatbot development services to build contextual and voice-based chatbots for maximum customer engagement.