Deploy ML model | android studio | Kotlin | deep learning | model deploy | tflilte

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 : www.tensorflow...
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

[@racapinang]

amazing!! thanks for the previous tutorial!!

[@fachrezahelmy]

thanks a lot for giving new knowledge access about deploying ML model. I hope the best towards your career and I'm eager to explore all of your ML projects playlist !

[@surflaweb]

Hi dear, could you share me the repository of the android project? thanks much. Keep it up!

[@lekhwar]

Awesome, 👍

[@deananurulk8646]

You help me so much. Thank you

[@Huy-G-Le]

This doesn't have a memory system right? I feel likes it's remember faulty information each time we load a new images, then got an incorrect prediction...

[@memerhu9495]

🔥

[@nikethatharangi857]

great tutorial.

[@meetsoni1938]

thank you so much brother

[@arthurleclercq6147]

Thank you!

[@alanood9500]

I have a question about YAMNet TensorFlow lite model (Android app). I want to use it with an audio clip as input, Not a live recording. Can you help in that? Thank you for your help

[@Localnimation]

Its weird but when i make the button my button not apear in the middle, its on the top corner, even tho i coppy ur code

[@TarunKumar-iv8qq]

I am unable to download labels.txt is there any other way?

[@omarramadan1115]

welcome man where can i find that source code i cant find it

[@aizensociety3376]

How did the your predicted appear when clicking select image? where should i put the image so it can be detected?

[@fadoua5825]

You can connect your phone directly as an emulator to execute your flutter app, The used photos should be downloaded on your phone. Good luck 👍

[@poojagoyal3647]

Can we deploy any sequential keras .h5 model to Android studio or it necessarily has to be either mobile net, resnet or efficientnet?

[@programming_hut]

Almost Any just convert it to .h5

[@poojagoyal3647]

@@programming_hut do we need to create the metadata for the custom image classification model using tensorflow lite metadata writer API?

[@geraldbaino8529]

Can you deploy cnn model in mobile using Ionic

[@mahrukhhafeez7398]

Is the same process for Windows?

[@Network811]

Can you give source code?

[@denishthapa3473]

Can we get a text to speech inside that .

[@rohitmagar2702]

unresolved reference maxIdx how to resolve this error

[@Huy-G-Le]

Same man

[@Huy-G-Le]

Ah hey, var maxIdx = 0, this line is above outputfeature0

[@rohitmagar2702]

Thanks

[@ssstragel8473]

can i have your full android code?

[@shreyashjadhav1303]

Access denied finding property "ro.hardware.chipname" is what i am getting

[@darkfemto126]

Do you save the model together with the weights, or just the model in H5?

[@dragster4ever]

Hii, how can i hire you to develop a app for me? Can i get your contact details?

[@programming_hut]

Sure it’s in description

[@tanhooiting8562]

Can you check your Facebook and insta pm❤

[@ycevizci]

Hello can you check your instagram dm?

[@programming_hut]

Sure