ResNet Architecture: Part 1 (in Hindi)

[@shikharsaxena9989]

I haven't seen someone explaining the NN architecture so smoothly. Thanks Kshitiz.

[@manishbolbanda9872]

thank you sir for taking the initiative to explain things in hindi.

[@piyalikarmakar5979]

One of the best explanation..Thank you so much sir🙏

[@KshitizVermaDL]

You are most welcome

[@AltafHussain-gk2xe]

Thank you sir for starting such a great series of deep learning in in very easy way and with great explanation

[@KshitizVermaDL]

It's my pleasure. Thank you for the kind words.

[@VLM234]

Great video, very clear explanation! Why the deep network is performing badly in some scenarios: The reasons may be, 1. Optimization methods 2. Loss function 3. insufficient data 4. function generated through feedforward has too many parameters and maybe their solution doesn't exist and even the approximation solution is far from the exact solution?? Sir, please comment on the mentioned points!

[@KshitizVermaDL]

I am sorry for the delayed response. But all your points are valid in justifying why very deep neural networks may be bad.

[@VLM234]

@@KshitizVermaDL sir, I have a request, could you please make a video on development of NLP models means when and how different models cam into roleplay... Like RNN, LSTM, encoder decoder, attention, self attention, transformer, Bert, gpt.. Bla bla... I am confused with their use cases and implementation... If possible please make a video on that...

[@KshitizVermaDL]

A video? It will take me next three months to cover this all. I am about to start these topics now.

[@hiteshusingh8571]

Nicely explained Sir!

[@KshitizVermaDL]

Thank you.

[@surveyingengineeringdesigninfo]

Very Informative

[@KshitizVermaDL]

Thanks

[@sureshkhatri7321]

nice insight !! :)

[@KshitizVermaDL]

Thank you!

[@Shashank_Shahi1989]

Can you recommend books to learn mathematics for machine learning ?

[@shaz-z506]

'Element of statistical learning' is one of the best if you wanna learn mathematics for machine learning algorithms.

[@KshitizVermaDL]

If you were taught calculus, linear algebra, probability and statistics in any of your math courses, you should be fine. In any case there is an excellent book on Deep learning by Ian Goodfellow and others, check it out.

[@Shashank_Shahi1989]

@@KshitizVermaDL Thanks for your reply.

[@sumitchhabra2419]

Subscribed

[@KshitizVermaDL]

Thank you!

[@monikasethi1768]

Can you plz make a video how to handle the images in nii format?

[@KshitizVermaDL]

Can you please elaborate more on this? You mean how to handle such images for working with deep learning?

[@monikasethi1768]

@@KshitizVermaDL Yes Sir, I mean how to work with nii images with deep learning (CNN Model)

[@hammadkhan7927]

Please Provide the note

[@UsamaChishti]

Please make the tutorial on facenet

[@KshitizVermaDL]

Yup. I plan to do that. Let's see when.

[@UsamaChishti]

@@KshitizVermaDL ok, i am waiting....

[@Raghhuveer]

You are op

[@KshitizVermaDL]

I hope it was useful.

[@jasimali3981]

please send me the source code

[@haramdesignhouse8146]

Good. But middle 10 minutes are useless and repeat one simple thing many times makes really irritating

[@KshitizVermaDL]

Yeah! I agree. I tend to be slow and repetitive. While this works well in a class that is not recorded, it is, as you said, useless in a lecture that is recorded. However, that's an old video and I hope I have improved on this habit!