Hi everyone welcome another video of about deploying a machine learning/ deep learning model on android app. Yes I already done some videos on this topics but what different this time is :
1 - You will learn to convert your .h5 keras models into .tflite tensor flow lite model.
2 - We will use kotlin language to deploy our model
3 - CNN model which takes input as image
other than that some extra topics I discussed in this video are :
4 - Normalising the image from 0-1
5 - Converting your rib image into GRAYSCALE
model link : [ Ссылка ]
You will learn to use ImageProcessor to process your tensor image too.
If you still have any queries then ask them in down comment section.
and at last thanks for watching the video.
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keywords:
android app,tflite,model deploy android,machine learning android app,latest,buffer overflow error,float32,uint8,buffer size,app crash error solution,how to deploy,dl model,ml model,h5 to tflite,converter
