TensorFlow API Documentation 📚

Welcome to the TensorFlow API documentation! 🌟 This guide provides an overview of the core components and modules available in TensorFlow, along with practical examples to help you get started.

Key Features of TensorFlow API

• Core Operations: Basic building blocks for data flow graphs
• Machine Learning Libraries: Tools for training and deploying models
• TensorFlow.js: JavaScript API for browser-based machine learning

Getting Started

1. Install TensorFlow:
   Use pip install tensorflow for Python or visit our quick start guide for installation instructions. 🛠️
2. Explore APIs:
   Check out the TensorFlow API reference for detailed documentation on functions and classes. 🔍
3. Tutorials and Examples:
   Follow our tutorials to learn how to use specific APIs in practice. 📝

Additional Resources

• TensorFlow GitHub Repository for source code and contributions
• TensorFlow Community Forum to ask questions and share ideas

Let me know if you need further assistance! 😊