TensorFlow

TensorFlow is an open-source machine learning and deep learning framework developed by Google. It uses large-scale data flow graphs to perform computations efficiently, and is particularly well-suited for training large models and distributed processing. TensorFlow's foundation is a static computation graph (Static Computational Graph), where training and inference pipelines are defined upfront — making it well-optimized for deployment. In recent years, Eager Execution mode (dynamic computation graph) has also been introduced, enabling more flexible development. Key features: • Rich APIs: Supports Python, C++, JavaScript, and more — usable across a wide range of environments • Distributed training and scalability: Large-scale training leveraging cloud infrastructure and multiple GPUs • TensorBoard: Built-in visualization tools for monitoring the training process • TensorFlow Lite, TensorFlow.js: Support for inference on mobile devices and in the browser TensorFlow supports AI development across a wide range of domains including image recognition, natural language processing, speech recognition, autonomous driving, and medical diagnostics, and is widely adopted by enterprises and research institutions. Continuously updated by Google's powerful ecosystem and active community, TensorFlow is one of the leading frameworks used by practitioners from beginners to experts.