TensorFlow - An End-to-End Open Source Machine Learning Platform

TensorFlow An End-to-End Open Source Machine Learning Platform

Free

#Machine Learning
#Open Source
#ML models
#deployment
#JavaScript
#mobile

What is TensorFlow?

TensorFlow is an open-source machine learning platform that simplifies the process of creating and deploying machine learning models across various environments. It offers a comprehensive ecosystem of tools, libraries, and community resources, making it a versatile choice for both researchers and developers.

TensorFlow provides intuitive APIs and interactive code samples to facilitate the development process. Users can leverage pre-trained models and datasets, as well as advanced tools like TensorFlow.js for web development and TensorFlow Lite for mobile and edge device deployment.

Features

TensorFlow.js: Develop web ML applications in JavaScript.
TensorFlow Lite: Deploy ML on mobile, microcontrollers and other edge devices.
TFX: Build production ML pipelines.
Models & datasets: Pre-trained models and datasets built by Google and the community.
Tools: Tools to support and accelerate TensorFlow workflows.
tf.data: Preprocess data and create input pipelines for ML models.
tf.keras: Create ML models with TensorFlow's high-level API.
Kaggle Models: Find pre-trained models ready for fine-tuning and deployment.
TensorBoard: Visualize and track development of ML models.