Machine Learning Projects for Mobile Applications

Building the TensorFlow model

In this application, we will build an MNIST dataset-based TensorFlow model to be used in our Android application. Once we have the TensorFlow model, we will convert that into a TensorFlow Lite model. The step-by-step procedure on downloading the model and building the TensorFlow model is as follows.

Here is the architecture diagram on how our model works. The way to achieve the same is explained further:

With TensorFlow, we can download the data with one line of Python code, as follows:

import tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_data# Reading datamnist = input_data.read_data_sets("./data/", ...