TensorFlow.

An open-source machine learning framework developed by Google for building and deploying ML models.

In-depth explanation

TensorFlow provides a comprehensive ecosystem for ML development, from research to production. It supports deep learning, traditional ML, and deployment across platforms (server, mobile, browser, edge). Keras is its high-level API for easy model building. TensorFlow 2.x emphasized eager execution and simplified APIs.

Examples

EX. 01

tf.keras for model building

EX. 02

TensorFlow Serving for deployment

More in AI Tools

01Hugging FaceA platform and library for sharing and using pre-trained ML models, especially for NLP.02MLflowAn open-source platform for managing the ML lifecycle including experimentation, reproducibility, and deployment.03PyTorchAn open-source machine learning framework developed by Meta AI, popular in research.

[NEXT] — APPLY THE CONCEPT

Master TensorFlow.

Learn how to apply this concept with hands-on projects in our comprehensive AI programs.

Explore our programs