I agree with you. We all know that every era has their own challenges, but the only time literally everyone may connect and collaborate with anyone, is now Not to mention, remotely!
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.
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.
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.
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!
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.
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?
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
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.
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?
Thanks for sharing my course 🙂
Thank you for sharing your wisdom with the global developer community, Bhavesh. 🙏
@@masternobody1896 - Thank you!
@@quincylarsonmusic - Thank you :)
Thank you for great stuff 😊
thank you, Bhavesh for the nicely explained tutorial. it's on my list of projects to try now :)
Man I feel so blessed, That I am born in such a good time of humanity.
@@luc5483 what ?
People literally die in seriya
@@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
Let'smake the future better, so that we aren't the last ones to have that feeling.
I agree with you. We all know that every era has their own challenges, but the only time literally everyone may connect and collaborate with anyone, is now
Not to mention, remotely!
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.
I believe "peripheral device" is more acceptable than slave.
Thank you so much! I am doing a researching in my degree about this topic and I just watched this entire video
Thank you for the amazing course, it was well structed and well explained! Amazing what quantization can achieve! 😎
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.
Amazing content , gives a complete overview on tflite..!!
Lovely tutorial! Would love to see a tutorial of building an app on iOS to deploy any TFLite models. Thanks!
thank_you_for_a_very_simple_explanation
nice teachers and nice channel for both creaters and students....
57:44 I'm amazed!
Thanks!
thank you very much!
good explanation
Awesome tutorial! Thanks a lot
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.
great tutorial ..
Thank you for brilliant video
I'm glad you liked it 🙂
Very useful!
thanks
It will be better to show how to use the tflite model with a camera by a bib like opencv
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!
Stay tuned. We have Rust courses in development. :)
How do we do it for int8 object detection? can you explain this also.
Aaaand it's time for me to dust off my old RPi3!
Hello! 😀
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.
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?
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
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.
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?
What is the accuracy for the float16 case?
How can run this tflite model in esp8266?
Do Google have a runtime environment already configured and ready for disposal when a request is sent from a notebook?
Yes!
@@bhattbhavesh91 will all the libraries be present in each venv at all times?
Can anyone tell me where to use a Tensor Processing Unit (TPU)?
google colab
Hello every one.
Hello.
An implementation video could really help....
Sure :) I'm learning Android and as soon as I'm confident, I'll share the android deployment video as well :)
possible to upload tutorial on integrate the tflite model in android studio? thanks
I learned more about indian accent than tf lite, 😂
0
Steve jobs
Thanks!
Thanks!