MLP Notation

Multi-Layer Perceptron (MLP) Notation refers to the symbolic representation used to illustrate the architecture and connections within a neural network. In MLP, nodes (neurons) are organized into layers, including an input layer, hidden layers, and an output layer. The notation visually represents the flow of information between layers through weights and activation functions.
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[@paragvachhani4643]

Awesome sir...
But bymistake ...aapne last weight ka name galti se 2W21 diya...instade of 2W31..
Lekin aap bolte ne concept samjo .... So pakka smj aagya.

[@AashishKumar-qs6io]

Yes

[@theWorldOfIss]

Brother the way you teach no one ever seen in CZcams. My professor also don't have this quality that you have 🙏🤝

[@BreakoutCandles]

Sir me aapke sare videos dekhata hu mujhe aaj tak koi yese nahi padhaya jese aap padhate ho.... :)

[@Gudduyadav_1989]

I am totally agree 💯.. incredible 💪

[@pravinshende.DataScientist]

sir you perfectly know how to teach the student ...I seen many vedios but no one told this fact .... bc of that then prolem arises to understand ... Thank you .. I am following your all the vedios ....

[@krithwal1997]

Yup, he is amazing

[@talibdaryabi9434]

on 11:21 min, its W231. you may correct it.

[@sagaradhikari8581]

sir i believe at 11:20 it would be W231. Correct me if i am wrong.

[@campusx-official]

Yes. Mistake from my side. Thanks

[@saadali.shahbaz]

Yes it is. (Y)

[@md_shagaf_raiyan_rashid]

This is nice sir weights aur bites nikalne ka tareeka bahut achha laga sir

[@VishalNaik-gq4vl]

as always great content! activating brain neurons to process the learning with high accuracy

[@rajbir_singh0517]

hi Sir, @11:16, w231 hoga instead of w221, is my understanding correct ?

[@user-sz9nt3vz7k]

you are right

[@user-vj3yw5nq7p]

Thank you so much sir for existing ✨✨

[@savyasachi6988]

nice approach to build logic i also used to get confused in naming weight and then in back propogation

[@rb4754]

Amazing way of teaching. You are a gem...........

[@elonmusk4267]

awesome

[@Prathamesh__27]

great

[@ManavMSanger]

amazing explanation

[@techvideo4752]

nice video. please use some other pen or pointer, because while written the content is hard to identify where are you writing

[@user-jl5cw9lm2c]

you are the best in explanation

[@aqeebhussain1967]

Bhoot Khoob sir Your teaching style is so good dear sir

[@sujithsaikalakonda4863]

Very well explained sir. But there is a written mistake at 11:23. Viwera who saw this comment try to correct the mistake. If not there is answer in one of the comment. Find it.

[@anirbanrana9660]

W231

[@prakashkumar1152]

Yes ,it's w231

[@Himanshu-z5l]

loved it man karta hai ek din may pad jau but possible nhi hai😅

[@waqarjoiya-yd2sx]

Awesome sir 🥰🥰🥰🥰🥰

[@NickMaverick4]

AMAZING ❤❤❤

[@sunnyrajendraraj]

sir it would be a great help from you if you provide the lecture notes below as well.

[@user-db6jh7vf9i]

According to playlist which is next video ? forward or backward?

[@vinaynaik953]

Thanks

[@narendraparmar1631]

Easy Explanation, Thanks

[@twsr167]

tell me the weight notation for hidden layer 2 to output layer in your video

[@Abhishekverma-sk2mm]

as always great season
thank you

[@vishnujatav6329]

Mas tha ekdam. Very good. Mza aa gya

[@smitpatel1358]

Amazing as always, sir.

[@Reality_Check100]

At 11:29 , answer is wrong for W as there must be 3 in lower portion

[@SS-yb1qd]

Nice

[@hamzaabbas246]

Excellent explanation dil sa❤😮

[@amritamukherjee4822]

Thank you so much

[@sandipansarkar9211]

finished watching

[@Sandesh.Deshmukh]

Excellent !!!

[@user-pd1gy8xh4y]

Mistake in W^2_21. It is supposed to be W^2_31. At time 11:19.

[@furqanjan3481]

love from pakistan

[@arshad1781]

Thanks 👍

[@coding_world_live9]

Thanku so much sir for this...or sir please aap ke video me pdate time cursor show nhi ho raha hai ,to usse aap kaha pr point out kr rahe ho samjh nhi aata , so please next viedo me ho sake to dhoda dhyan rakhna...and again big thanks for this diamond course...

[@pankajbeldar9799]

You are next to God for me in machine learning

[@mridang2064]

Thanks Thanks Thanks. Jitna Thanks bole utna kam hain appko

[@user-pu4iz8wb4d]

best video ever

[@znyd.]

❤

[@hndangi.2677]

Superb Sir 🎉🎉

[@SS-yb1qd]

Bahut maja aaya

[@farhadkhan3893]

Awesome

[@mohit_you9270]

You are the Best Man 🔥🔥

[@AbdulRahman-zp5bp]

Lovely vid

[@Blitzkrieg_one8]

nice

[@jayantsharma2267]

great content

[@StartGenAI]

Nice video 🙏

[@learningcore289]

please complete this series

[@sujithsaikalakonda4863]

nice explanation.

[@pavangoyal6840]

Thank you very much

[@yashjain6372]

best >3

[@avadhutvarvatkar3512]

❤❤

[@ajitkumarpatel2048]

🙏

[@illusions8101]

Thank you sir

[@roshanrk7124]

No mistake will be end from now on when it comes to notations in a NN architecture

[@zkhan2023]

Thanks sir

[@AjitKumarMCS]

Sir! please make one vedio for neural architecture search

[@Sara-fp1zw]

best

[@shubhankarsharma2221]

11:17 W231

[@yahyakhankhokhar1840]

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[@campusx-official]

Sorry I am not conducting classes right now

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Hello can i please request you to create one video about regression by deep learning

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[@KumR]

Rulaoge kya.....