Starting with Machine Learning on devices like MCU - Part 10 (TensorFlow Framework)

To start with, let us understand what a framework is. A framework is a ready-made structure or set of tools that helps you build something faster, without starting from scratch.

It gives you:

• Predefined code (functions, classes, modules)
• A standard way to organize your program
• Rules and tools to solve a specific kind of problem

For example, Arduino core is a framework. It's core software and libraries behave like a framework that simplifies embedded programming in C++.

Similarly, TensorFlow is a machine learning framework.

It provides ready tools to:

• Build neural network layers
• Handle data efficiently
• Run training on GPU/TPU
• Save and deploy models

You don’t need to manually code matrix multiplications or gradient descent. TensorFlow handles that for you.