Thank you for sharing your wisdom with the global developer community, Bhavesh. 🙏
@bhattbhavesh91
2 жыл бұрын
@@masternobody1896 - Thank you!
@bhattbhavesh91
2 жыл бұрын
@@quincylarsonmusic - Thank you :)
@sumukha-infotech
2 жыл бұрын
Thank you for great stuff 😊
@horoshuhin
2 жыл бұрын
thank you, Bhavesh for the nicely explained tutorial. it's on my list of projects to try now :)
@shivensaini3643
2 жыл бұрын
Man I feel so blessed, That I am born in such a good time of humanity.
@luc5483
2 жыл бұрын
I have bad news for you...
@shivensaini3643
2 жыл бұрын
@@luc5483 what ?
@pratikgiri878
2 жыл бұрын
People literally die in seriya
@papesldjnsjkfjsn
2 жыл бұрын
@@pratikgiri878 because no one used to die? Death is at an all time low, we are in a golden age for humanity, not a utopia
@sohamshah7638
2 жыл бұрын
Let'smake the future better, so that we aren't the last ones to have that feeling.
@ktrivikram1311
2 жыл бұрын
We wanted to do a project in college in that includes tensorflow and arduino or rasberry pi but i was worried that they could not handle tensorflow so we decided to use it as slave device while a laptop does all the processing, but now i am more than happy seeing this.
@marcusgarvey8668
10 ай бұрын
I believe "peripheral device" is more acceptable than slave.
@ldanielfch
2 жыл бұрын
Thank you so much! I am doing a researching in my degree about this topic and I just watched this entire video
@Alcatraz-ui4yq
4 ай бұрын
Thank you for the amazing course, it was well structed and well explained! Amazing what quantization can achieve! 😎
@Harshith.N-e7p
29 күн бұрын
Amazing content , gives a complete overview on tflite..!!
@madhumithaa7966
Жыл бұрын
I am wondering, How can someone be so perfect and clear in explaining. Crystal Clear Explanation! This really helped me a lot. I request you to do lot many more videos like this.
@adityakharbanda3290
2 ай бұрын
Lovely tutorial! Would love to see a tutorial of building an app on iOS to deploy any TFLite models. Thanks!
@programmingstudy8580
2 жыл бұрын
nice teachers and nice channel for both creaters and students....
@adayinthelife5496
10 ай бұрын
Great tutorial. I like how you show all your dependencies right away, but you don't mention anything about the edge device. I think all the libraries we need to install to run this model will make model compression seem pointless.
@hichamm86
2 жыл бұрын
It will be better to show how to use the tflite model with a camera by a bib like opencv
@PHrushikesh
Жыл бұрын
thank_you_for_a_very_simple_explanation
@0xN1nja
Жыл бұрын
57:44 I'm amazed!
@PHrushikesh
Жыл бұрын
Thanks!
@Szhaoenen
9 күн бұрын
thank you very much!
@Kj9998y
2 жыл бұрын
Hey free code camp team, Please try to upload a rust programming course, for building decentralized applications and Smart Contract on Solana just like you uploaded a solidity course for Ethereum. Thanks!
@quincylarsonmusic
2 жыл бұрын
Stay tuned. We have Rust courses in development. :)
@sofuno863
2 жыл бұрын
can we train a lite model on the edge though?
@sharathkumar8422
Жыл бұрын
Awesome tutorial! Thanks a lot
@roku-device23
9 ай бұрын
An Arduino Micro-controller is not an edge device nor is a cell phone. A cell phone can be an edge client, and a micro-controller needs to be connected to a SOC or computer to be an edge device. I am surprised you didn't list a raspberry pi as an edge device because most edge devices are raspberry pi.
@sharanh543
5 ай бұрын
How do we do it for int8 object detection? can you explain this also.
@milansubasic9341
2 жыл бұрын
Very useful! thanks
@sanjaybhatikar
2 жыл бұрын
What happens if I constrain the weights to be integers during the training process itself? Does the optimization algorithm still converge as when the weights were floats?
@its_kumar
2 жыл бұрын
Thank you for brilliant video
@bhattbhavesh91
2 жыл бұрын
I'm glad you liked it 🙂
@prabhasraj2330
Жыл бұрын
good explanation
@mcfrenzyo2645
Жыл бұрын
Hi Bhavesh Bhatt. Please have you got any idea why my confusion matrix and classification report are only classifying the "0" label and showing 0 classification for "1" label? The dataset is not imbalance as the 0 label are about 120,000 and the 1 label are about 97,000. I have also used your code verbatim and still got only the 0 label classified.
@sarath1812
2 жыл бұрын
Can anyone tell me where to use a Tensor Processing Unit (TPU)?
@0xN1nja
Жыл бұрын
google colab
@smilingisagiftsias6191
2 жыл бұрын
Hello every one.
@freecodecamp
2 жыл бұрын
Hello.
@rahulcr3602
7 ай бұрын
great tutorial ..
@OlegBedriy
2 жыл бұрын
Aaaand it's time for me to dust off my old RPi3!
@interspecies-au
Жыл бұрын
How can run this tflite model in esp8266?
@wuzhao8605
Жыл бұрын
What is the accuracy for the float16 case?
@anshgoyalevil
2 жыл бұрын
Hello! 😀
@saitejabethineedi459
2 жыл бұрын
Do Google have a runtime environment already configured and ready for disposal when a request is sent from a notebook?
@bhattbhavesh91
2 жыл бұрын
Yes!
@saitejabethineedi459
2 жыл бұрын
@@bhattbhavesh91 will all the libraries be present in each venv at all times?
@onurcatal3048
Жыл бұрын
Thanks for the video! Can I use TF Lite for a dataset with 12k samples to deploy to mobile? Is there any limitations or does this situation affect the metrics such as acc or something else?
@apuravaagrawal8714
2 жыл бұрын
Hey bro I am gona buy a new laptop for coding, programming all all related stuf can u suggest me the best one at low budget means perfect 👌👍 not advance not traditional
@Sandeep-tn8mz
2 жыл бұрын
An implementation video could really help....
@bhattbhavesh91
2 жыл бұрын
Sure :) I'm learning Android and as soon as I'm confident, I'll share the android deployment video as well :)
@ys2937
2 жыл бұрын
possible to upload tutorial on integrate the tflite model in android studio? thanks
@agentburningbutters3655
2 жыл бұрын
0
@benc7910
Жыл бұрын
I learned more about indian accent than tf lite, 😂
Пікірлер: 64