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

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.

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