Image Classification App | Deploy TensorFlow model on Android | #2

Pubblicato il: 27 febbraio 2022
sul canale di: IJ Apps

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Learn how to code your own neural network in Python, then deploy it in an Android Image Classification App using TensorFlow Lite!
In this tutorial, we’ll export our custom neural network and code an app that runs the neural network on a mobile device.
If the tutorial is useful, make sure to like, subscribe, and share!

Previous Tutorial (Coding Custom Neural Network in Python):    • Custom TensorFlow Model for Image Cla...
***TensorFlow Lite Course:    • Machine Learning with TensorFlow Lite

Give the GitHub Repository a Star! https://github.com/IJ-Apps/Image-Clas...
XML Layout Code: https://github.com/IJ-Apps/Image-Clas...
Java Code: https://github.com/IJ-Apps/Image-Clas...
Python notebook code: https://colab.research.google.com/dri...

Learn how to make an image classification app with TensorFlow & Teachable Machine:    • Image Classification App  |  Teachabl...
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*IJ Apps GitHub Page: https://github.com/IJ-Apps
*Personal GitHub Page with Projects: https://github.com/ishaanjav
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0:00 Demo
0:46 Convert to TFLite Model
1:57 Add TFLite Model to Android Studio
2:44 Starter Code
3:25 Launching camera and gallery
5:39 Processing Image
9:12 Using the TFLite Model for classification
13:05 Displaying the model's prediction
14:53 Final App!

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