Data scientists use neural networks as a tool to analyze photos and images. A neural network is a machine learning tool used to analyze images. It tries to focus on essential features of an image and determine a value or class to it. In this case, we will go through an example of classifying clothes.
Description
The dataset used in this example is available through TensorFlow. The code for this page was used as I went through a Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. The code is in Python.
Code
Import Packages
#Import packages import tensorflow as tf import numpy as np import matplotlib.pyplot as plt
The main package used in this code is TensorFlow.
Read in the Data
The dataset is available in the TensorFlow package.
#Read in the data df = tf.keras.datasets.fashion_mnist #Dataset include images of fashion clothing
Load Training and Test Datasets
Load the data into training and test data. The data has the images and the corresponding labels for the clothing items.