Machine Learning for Mobile

Understanding the model concepts

Before writing our first program using TensorFlow, we will briefly go through the concepts that will help us to understand how the TensorFlow Lite model work. We won't be going into the details, but a conceptual high level overview alone for better understanding.

MobileNet and Inception V3 are the built-in models that are based on convolutional neural networks (CNNs). 

At its most basic level, CNN can be thought of as a kind of neural network that uses many identical copies of the same neuron. This allows the network to have lots of neurons and express computationally large models while keeping the number of actual parameters – the values describing how neurons behave – that need to be learned fairly low. ...