Mısra, öğreteceğin şeyi önemli kısımların hiçbirini kaybetmeden öze indirgeyebilmen müthiş. Daha önce çok kez bu konuyla uğraşmama rağmen bu kadar "elegant" bir anlatımı ilk kez görüyorum. Tebrik ve teşekkür ederim.
This was a lightbulb moment video for me, Thanks to your super detailed simple explanation, I think I now understand how the values for the individual weights are determined and adjusted during the backpropagation pass. Its those pesky derivatives, I need to focus on and learn about. I can write some faily cool NN code using libraries and spying on other coders but I absolutely need to know how it is working on the lowest level for my own sanity. I am now a bit closer to sanity thanks to your fantastic explanation in this video. Been struggling with this for much longer than I would like to admit LOL I can see the faint light at the end of the tunnel I think, very excited
That's amazing the hear, thank you for sharing! Honestly, I've been there plenty of times during my data science work so I totally understand the feeling.
Misra,you explanation and examples are very simple easly understandable keep rocking .... Can you use pen instead of cursor,sometime its hard to track where the cursor is pointing
Mısra, öğreteceğin şeyi önemli kısımların hiçbirini kaybetmeden öze indirgeyebilmen müthiş. Daha önce çok kez bu konuyla uğraşmama rağmen bu kadar "elegant" bir anlatımı ilk kez görüyorum. Tebrik ve teşekkür ederim.
i've studied so many materials, but only now I finally understand this concept! Thank you so much
Explaining complicated process in a simple way, much easy to understand. Thank you.
You're very welcome Pasha!
This series is so informative! Thank you for your time. But where is the lecture slides ?
Thank you so much for this series. So clear!
This series is great and easy to follow and digest🎉
You are talented teacher.
This was a lightbulb moment video for me, Thanks to your super detailed simple explanation, I think I now understand how the values for the individual weights are determined and adjusted during the backpropagation pass. Its those pesky derivatives, I need to focus on and learn about. I can write some faily cool NN code using libraries and spying on other coders but I absolutely need to know how it is working on the lowest level for my own sanity. I am now a bit closer to sanity thanks to your fantastic explanation in this video. Been struggling with this for much longer than I would like to admit LOL I can see the faint light at the end of the tunnel I think, very excited
That's amazing the hear, thank you for sharing! Honestly, I've been there plenty of times during my data science work so I totally understand the feeling.
Your course is amazing, thank you very much!
Misra, you rock! ❤ Thanks again for this excellent series!!
You're very welcome :)
Really clear, thanks
Thanks for being so clear! That was great, keep continue, you rock 😍
Thank you!
Misra,you explanation and examples are very simple easly understandable keep rocking ....
Can you use pen instead of cursor,sometime its hard to track where the cursor is pointing
Ellerine sağlık, kolay anlaşılır ve kapsayıcı bir içerik olmuş.
Great explanation, thanks.
You're very welcome :)
Thanks a lot for this series 🙏
You're very welcome :)
Excellent. great as always.
Thank you ❤
Where to find this ppt
Once again, mil gracias!
You're very welcome :)
my fav resource
Thanks!
sade ve güzel anlatım icin tesekkurler
Rica ederim!
amazing, keep doing :)
Thank you, I will
🤙
Messy , and a and alpha hardly distinguishable....