MobileNet Research Paper Walkthrough 

Excellent, you are a great teacher! Much thanks for doing this.

reading the paper after watching this video made so easy to understand. Good work and thanks a lot

Clear explanation ! Thanks for doing greater good for fellow learners. Very much appreciate your endeavours.

We need more videos!.. Great explanations.

Outstanding sir

Keep growing, need more of such videos!!🙌

Super useful. Thank you!

Thanks, excellent explanation..now I really understood this mobile net architecture

Great explanation!!!

Nice! You dissected this well!

My man do more of these paper reviews Thank you for the great video.

Thanks man, keep doing these kind of videos 👌👍👍

Thanks a lot, it has been very helpful.

You should definitely do more of these!

Thanks! I was having problem in understanding before...But it helped me a lot

Very helpful thanks 😁

Thank you very much it is very helpful, i like to see mobilenetv2 and shufflenet research papers

Thank you so much

how much layers did we use?

Quick question on 17:30 - How is the alpha argument used to build a model? Does it work on top of a trained model? Is it to be defined prior to training? How are the channels reduced? The paper is not clear at all on that. I would appreciate if you could give me some insight on this.

Hey, you said the 'N' in convolution corresponds to the number of filters but the paper says it represents the depth pf the output channels. Can you describe a little more on what you think 'N' corresponds to.

Do you have other papers to describe? This one is good.

17:12

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