SQUEEZENET: Python Implementation

This video will show you how to implement SqueezeNet in Python using a real-time image dataset. It runs directly.
Sources:
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and less than 0.5MB model size. Authors: Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer
github.com/Mac...

[@junayedhasan]

Good job

[@EduardoGarnica-h2h]

Thank u so muchh!!

[@zuberimtiaz639]

I am still not sure about the fire module. The main paper does not have much description too. Could u give suggest some more papers that have implemented this NET? Thanks good work. I will suggest the change of mic though.

[@dumbtutorials4402]

Read the main paper in details. Yes, there are some papers. You can find them in Elsevier database. Recently, I found one paper where they have used Squeezenet architecture for COVID detection using X-Ray and CT images.

[@wonbin1208]

Could u make tutorials similar to this considering ShuffleNet or MobileNet. Thanks. Most importantly your code works the way it is. Most existing works just load the dataset from the internet. You have used a real-time one. I also learnt how to load my own dataset from the directory from your vdo. Hope u continue your works.

[@dumbtutorials4402]

Ok I will cover them next time.

[@ahmadkelixo7243]

Permission to learn sir. thanks you

[@dumbtutorials4402]

Welcome

[@shreyas26264]

bro i in need of code for classification of college,office and mall images using squeeznet bro i am confused deadline is very soon.it will be great if you help me.thankyou.

[@wukonginvincible2636]

Good video, but audio is not 100 percent clear.

[@dumbtutorials4402]

Thanks for your opinion. I will try to improve.