Price: $9.99
(as of Dec 14,2024 02:26:03 UTC – Details)
ASIN : B095YZT8N4
Publisher : BALIGE PUBLISHING; 2nd edition (May 26, 2021)
Publication date : May 26, 2021
Language : English
File size : 7654 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 129 pages
Page numbers source ISBN : B0962FP7VN
In this hands-on guide, we will walk you through the process of image classification using popular Python libraries like Scikit-Learn, Keras, and TensorFlow. We will also create a graphical user interface (GUI) using Python to interact with our image classification model.
First, we will start by loading a dataset of images that we want to classify. We will then preprocess the images and extract features using Scikit-Learn. Next, we will build a neural network model using Keras and train it on our dataset using TensorFlow as the backend.
After training our model, we will evaluate its performance on a separate test set of images. Finally, we will create a user-friendly GUI using Python libraries like Tkinter to allow users to upload their own images and get predictions from our trained model.
By the end of this guide, you will have a solid understanding of image classification techniques and how to implement them using popular Python libraries. So let’s get started on our journey to building an image classification model with a Python GUI!
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