Very very good explaination! Besides your little accent, it’s top quality. I have been searching for a decent explain-video for a long time. U nailed it! Strongly underrated video 👌🏼
I have tried your python notebook for this video from Github. Excellent work. Thanks for making it available. However, I can see that adam is not really working best for the linear function you have created. I was wondering, at what point of non-linear complexity does adam start showing better results over other optimizers. Would be great to have this discussion.
Very very good explaination! Besides your little accent, it’s top quality.
I have been searching for a decent explain-video for a long time. U nailed it! Strongly underrated video 👌🏼
Excellent video
superb content buddy... keep on uploading
I have tried your python notebook for this video from Github. Excellent work. Thanks for making it available. However, I can see that adam is not really working best for the linear function you have created. I was wondering, at what point of non-linear complexity does adam start showing better results over other optimizers. Would be great to have this discussion.
superb explaination :)
Keep going quality content
Great explanation bro😊
Awesome 😎 Will try 🤘🤘
Awesome content!
Nice, thx :D
Good content
I have found that alpha_t gets too big too quickly so that learning slows to a crawl. A simple line search works better.