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1
00:00 - - introduction
2
01:08 - - basic Taipy GUI
3
03:44 - - basic HTML webpage
4
04:41 - - basic Markdown webpage
5
05:02 - - image control component
6
06:23 - - styling with Python
7
06:56 - - file selector control component
8
07:37 - - text and line breaks
9
08:41 - - wireframe review and refactoring
10
09:57 - - updating components on state change
11
13:03 - - indicator control component
12
14:43 - - create your own neural network
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19:21 - - load neural network
14
20:54 - - process user provided image
15
23:54 - - make prediction
16
26:04 - - display prediction on GUI
17
29:19 - - test complete app
Description:
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

Python Simplified
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