Image Classification App | Deploy TensorFlow model on Android | 2

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): /watch/cn8dJYu24ab2d ***TensorFlow Lite Course: /playlist/PLLmkb5CTw5rSEpCgictoZgfSYZ_F0o0IQ Give the GitHub Repository a Star! https://github.com/IJ-Apps/Image-Classification-App-with-Custom-TensorFlow-Model XML Layout Code: https://github.com/IJ-Apps/Image-Classification-App-with-Custom-TensorFlow-Model/blob/main/app/src/main/res/layout/activity_main.xml Java Code: https://github.com/IJ-Apps/Image-Classification-App-with-Custom-TensorFlow-Model/blob/main/app/src/main/java/app/ij/mlwithtensorflowlite/MainActivity.java Python notebook code: https://colab.research.google.com/drive/1XHNNYwDYYoaJaQVCy1uIeKqErXTYpwLu?usp=sharing - Learn how to make an image classification app with TensorFlow & Teachable Machine: /watch/UKfaDK4mGhjma ---------------- Subscribe to IJ Apps to stay up to date when new videos are released and share the channel with friends! *IJ Apps GitHub Page: https://github.com/IJ-Apps *Personal GitHub Page with Projects: https://github.com/ishaanjav ---------------- 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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