TensorFlow by Google
TensorFlow is an open-source machine learning framework developed by Google. It offers a flexible ecosystem of tools, libraries, and community support for building, training, and deploying machine learning and deep learning models across cloud, edge, and mobile environments.
Key Features
Flexible Architecture: Supports CPUs, GPUs, TPUs, and deployment to cloud, edge devices, and browsers.
High-Level APIs: Build and train models quickly with tf.keras and TensorFlow Estimators.
Scalable Production: Robust tools for model serving, monitoring, and pipeline automation.
Ecosystem Integration: Compatible with TensorBoard, TFX, TensorFlow Lite, and TensorFlow.js.
Versatile Applications: Used in image classification, speech recognition, time series forecasting, NLP, and reinforcement learning.
Example Use Cases
Training computer vision and natural language models at scale
Deploying deep learning models to mobile apps or IoT devices
Prototyping ML research experiments with fast iteration
Powering recommendation systems and real-time predictions