Be the only one, not the best one

היי חברים,
אני מעביר הרצאות בנושא של מידול תלת מימדי מתמונה בעזרת רשתות ניורנים. בשבועות האחרונים התחלתי להעביר את זה בזום והייתה היענות גבוה (בעיקר מהקהילה החדשה שנוצרה לנו ברדיט https://www.reddit.com/r/2D3DAI/ ), לכן החלטתי לפתוח עוד 4 הרצאות השבוע, המעוניינים מוזמנים להצטרף:

(technical) - June 5th 09:30
https://www.reddit.com/r/2D3DAI/comments/gu06j6/from_2d_to_3d_using_artificial_intelligence_east/

(technical) - June 5th 20:30
https://www.reddit.com/r/2D3DAI/comments/gu097x/from_2d_to_3d_using_artificial_intelligence_west/

(semi-technical) - June 4th 09:30
https://www.reddit.com/r/2D3DAI/comments/gu072a/from_2d_to_3d_using_artificial_intelligence_east/

(semi-technical) - June 4th 20:30
https://www.reddit.com/r/2D3DAI/comments/gu07uq/from_2d_to_3d_using_artificial_intelligence_west/

הרצאות technical דורשות היכרות בסיסית עם רשתות ניורנוים CNN, ResNet. הsemi-technical זה תוכן דומה עם הקדמה על מה זה CNN וResNet וקצת פחות צלילה לפרטים.
כל ההרצאות יהיו באנגלית.

https://www.facebook.com/groups/ComputerVisionGroup/permalink/2045159488961575/

Hi,
I was told that pytorch is for research purpose and tensorflow for development. Need some clarrification because I have seen people using pytorch too in development. Can't we do all tasks in pytorch which can be done in tensorflow? Give your views

When it comes to deployment in embedded devices, you need to convert pytorch model to tensorflow using third party software.
So, you can do all tasks in pytorch but tensorflow is needed when it comes to deployment in devices like android, raspberry pie, etc

This used to be more true than it is now.

Tensorflow didn't have "eager mode" which made it hard to interactively debug research (it does have an eager mode now).

Pytorch didn't have static graphs or a c++ or mobile api which made it harder to deploy in production in some cases (it does now have static "jit" graphs and c++ and mobile APIs).

There are still some differences, eg some researchers prefer the numpy-like api of pytorch. I think Tensorflow has a Javascript api.

The differences are much smaller today and a lot of it comes down to personal preference.

Latest from Apple researchers: Deep learning approach for driving animated faces using both acoustic and visual information

For project and code or API requests: https://www.catalyzex.com/paper/arxiv:2005.13616

To ensure that the model exploits both modalities during training, batches are generated that contain audio-only, video-only, and audiovisual input features