Create a beautiful machine learning GUI application with an image classifying neural network using Taipy for the web interface and TensorFlow for machine learning tasks. Learn to process image data, create and save neural networks, and wrap them in a user-friendly Python website. Explore basic Taipy GUI components, HTML and Markdown webpages, image control, file selector, and indicator components. Develop a custom neural network, load it into the application, process user-provided images, make predictions, and display results on the GUI. Follow along to build a complete, stylish machine learning application with a step-by-step guide covering interface design, machine learning implementation, and integration of both elements.
Creating a Machine Learning GUI App with Taipy and TensorFlow
Overview
Syllabus
00:00 - - introduction
01:08 - - basic Taipy GUI
03:44 - - basic HTML webpage
04:41 - - basic Markdown webpage
05:02 - - image control component
06:23 - - styling with Python
06:56 - - file selector control component
07:37 - - text and line breaks
08:41 - - wireframe review and refactoring
09:57 - - updating components on state change
13:03 - - indicator control component
14:43 - - create your own neural network
19:21 - - load neural network
20:54 - - process user provided image
23:54 - - make prediction
26:04 - - display prediction on GUI
29:19 - - test complete app
Taught by
Python Simplified
