Multi Layer Perceptron | MLP Intuition

[@geekyprogrammer4831]

This is way better than Krish Naik and Andrew NG's explanation. Keep it up my man!

[@rafibasha4145]

Better than Krishnnaik but you cannot compare with Andrew as even Nitish might have learnt from Andrew

[@geekyprogrammer4831]

@@rafibasha4145 Andrew is a pioneer. In terms of knowledge, he is the king no doubt. But for explaining the concepts, my man Nitish is better :)

[@rafibasha4145]

@@geekyprogrammer4831 ,I agree Nitish is better .If you are not understanding Andrew videos it doesn’t mean that he is not better .You need to level up to understand him

[@geekyprogrammer4831]

@@rafibasha4145 true lol

[@sidindian1982]

@@geekyprogrammer4831 Sahi Kaha aapne :-)

[@4549abhi]

I never knew that someone could teach MLP in this wonderful way. My way of seeing MLP is now totally changed. You are such a gem. keep making such wonderful videos. Thanks alot

[@sidindian1982]

graph by graph with maths & intuition method .. mindblowing ... i am fan of Nitish Sir ... :-)

[@yovegita]

I don't know how people are missing such a brilliant man. One of the best things about his videos is they are crystal clear, detailed teaching, and most importantly there is no need to look at the textbook or any website for theory if you understand the point very well you are good to go and write your theory. people skip such videos because of their length but they don't know that lengthy video has more knowledge. keep it up bro and your best teacher so far.

[@manaswinim7775]

Spellbound . May Lord Saraswathi bless you with more knowledge and power . Wish you good luck🤗

[@blindprogrammer]

Awesome! Please do mention the list of books from which you got this much understanding and clarity of the concepts.

[@vanshshah6418]

maa kasam aaj tak itna acha explanation nahi dekha !!! bhai tu kitna badhiya padhata hai i cant even believe this content is free.

[@abhipatel3122]

For teaching in detail. Thank you! Waiting for CNN , RNN and transformers!

[@barryallen3051]

Guys, It's impossible to explain DL by a more simplistic and easy method than this guy has done.

[@priyanshu.growth]

I have more than 7 years of experience in Data Science and this is one of the best explanation I have seen so far. Kudos to you man. Thanks for all your efforts. Really appreciate it.

[@alroygama6166]

You are a legend sir. The best on the internet and that to for free. God bless you sir abundantly. Much love from Goa.♥️♥️

[@RaushanKumar-qb3de]

mygod superb sir...kya mast way h aapka samjhane ka...itne din m aaj mera nn ka concept clear hua...keep it sir...huge respect sir

[@sidindian1982]

Sir ,No one on this planet has explained in detail like this on MLP : ... You are God :-)

[@manjushagore904]

Koi itna accha kese padha skta hai bhaiiiiii🔥 I just did lost hope that I will ever be able to learn neural networks but this man proved it wrong You are AMAZING sirrrr Hattts offf to youuuu🔥 And thank you so much

[@siddharthmodi2740]

You are the best teacher on internet. Really a gem💎 How can I contact you, sir?

[@rkgk5445]

You deserve millions of subscribers for such amazing contents. Maza aa gaya Sir.. Anu Malik: Aag laga diya... 🔥 aag laga diya.....🔥

[@storiesshubham4145]

Sir 1 lakh likes bhi kam pad jayenge. You are the best teacher. Magnifcent explanation of Neural Networks

[@roshanrk7124]

Thank you for this. Amount of clarity i have now when it comes to MLP is unreal as compared to when i studied it for the first time from different source.

[@sanhitasaxena1542]

any new concept related to data science that i want to learn, i head straight to your channel because your content is top notch. thank you so much sir! your content really makes me confident and comfortable in my transition into the field.

[@AbhishekKumar-eg4ok]

Outstanding perspective, sir. I am overwhelmed by this lecture.

[@Ganitacharya]

Greatest video ever on MLP Sir you are the greatest teacher of deep learning. Thank you so much सर आपको दण्डवत प्रणाम है

[@OmsEpicPlay]

Amazing !! I followed your Lecture from 100 Days Machine Learning Series then start with Deep Learning , Never get bore of lecture !

[@MayankSingh-cj3dx]

By far the best lecture on Multi-Layer Perceptron on the Internet. Thank you so much Nitish Sir for your efforts and dedication. You are Truly a MAGICIAN.!!

[@hardikatri7803]

I cant have words for this kind of explanation.

[@harshvardhan9127]

Very nicely explained. Could you please let me know which visulaizer you had used for explaining the effect of nodes in decision boundary region creation.

[@ShubhamSingh-tu9nk]

I should say the effort u put in and the level u make it simple DEEP LEARNING is my favt now

[@rajbir_singh0517]

seriously, ek 5th class ka bacha bhi samajh jayega, kinta easy kar diya appne...... ek ek word connect ho raha....

[@prathamsaboo]

Awesome explanation sir. This playlist deserves views in millions. Thank you very much for such content...

[@sahilpatel7923]

One of the best demonstrations I have ever seen.

[@aanchalsharma2567]

such a nice explanation. you made this topic so easy. you are an amazing teacher. Please don't stop teaching us

[@pawanbhatt314]

Beautiful explanation. Super low probability to find a teacher like you. Thank you so much for this great great effort. College student like me now can learn DL for free with super-duper visualization and explanation.

[@amLife07]

Sir This lecture is the best lecture, I have seen on MLP. Thanks a lot. 😊

[@anonymousxyz3856]

This is so insightful.. I am watching it for the third time and realizing how amazing it is.

[@Lakshya-f4l]

Explaining hard concepts using first principal thinking - Great Teacher ! Great Explanation ! Thanks a lot sir !

[@shwetahatnagar8625]

No words for your teaching and explaination sir......thank you sir...

[@vinitpatidar5617]

Nitish sir you are true Guru - the one who "dispels the darkness of ignorance."

[@unpluggedmelodiesfromharsh2049]

Hello sir. I have been following your 100 days of ML playlist and it is the best playlist and a very detailed one with code examples. And now this 100 days of DL is also awesome. Thank you sir for such amazing content.

[@shantanuekhande4788]

Man you teaching is smoother than lassi . tons of thanks

[@adityashukla8520]

Easily one of the best explainer videos, keep up with these!

[@pranavmittal9619]

campusX content >>> whole youtube data science content

[@manishFromIT]

No doubt

[@magnets8264]

Thank you very much sir, please complete the deep learning series

[@suchiupadhyay4361]

Hello Sir, I have never seen such a wonderful way to teach MLP concept. You are awesome. I really really appreciate your efforts to deliver the content. Thank you very much. Thanks.

[@rishabhvyas4969]

Sir you deserve more than 10 million subscriber, the way you teach and the content you are providing is truly great. I feel so lucky that i found you.

[@Ganitacharya]

Sir mai bhi is baat se agree hun

[@tanvirrubayedtauhid4840]

The bestest explanation of MLP in KZbin.💟

[@techvideo4752]

it was a amazing video. finally i understood what is the use of linear combination in linear algebra.

[@Syedzamangallani]

nice sir this for motivational purpose that you will upload more videos in future

[@mohammedsaif934]

I swear Nitesh no one explained me deep learning such a complex topic explained very easy way. thanks alot

[@rajkumarguptafx3907]

No Words to express gratitude for your dedication ❤

[@zubairkhan-khan3567]

Very clear and easy explanation.

[@titaniumgopal]

He was a Good teacher in online Platform.He was a Great.

[@vishutanwar]

bhai bhai bhai, yrr bohoat must samjha detay ho aap to concept!!!!

[@abdulwahabkhan1086]

Yaar kia kamal ki intuition dete ho bhaiya ❤

[@khushishrivastava331]

@CampusX. The content is really amazing. I am new to the ML field and this is the easiest explanation I could find. I just have one question. When you say a single perceptron cant classify non linear data, how are the perceptrons in the hidden layer getting the line ? We saw in the tensorflow playground that no matter how many epochs we take it will not be able to construct a line. Thanks in advance

[@DATA_SCIENCE_CHAMP]

Best lecture ever in deep learning

[@rb4754]

Completely out of words now. You are amazing Nitish!!!!!!!!!!!!!!!!!!!!!!!!

[@BrightBudget1]

Explanation ..... Hats of Nitish !!

[@nehagovekar9319]

I am so grateful for this playlist

[@paragvachhani4643]

Nitesh dada... Bohathi badiya tha video..aapke sab lecture super se uper hi hote hai...ish me koy doubt nhi hai

[@animatrix1631]

It was really nice how you explained the intuition thanks a lot , hope this channel grows a lot

[@rutvikkapuriya2033]

Best video and series for deep learning ever

[@shahnawazinspire631]

Best video till now in this series.

[@amitattafe]

Jabardast video sarre concept clear kar diye.. Thankyou so much for giving such a valuable knowledge and that also free.

[@KumR]

Wowww. No one can explain like this. Period.

[@bismitapanda2418]

If I am using specific model let's say yolo how can I see what will happen if I add number of layer or number of node in tensor playground.

[@iprasadful]

Best explanation for the topic I have ever got, thanks a lot sir!

[@rajsharma-bd3sl]

How can we get two different decision boundary with two perceptrons trained on same dataset points? Time: 10:39

[@darshanayenkar]

your intuition for all ML just great

[@rahulphatak2909]

Does multilayer perceptron only check points which are 1 and based on that combining the region or checking for all the points? Anyone please help me to understand.

[@narendraparmar1631]

Very well explained , I enjoy it a lot, Thanks for all of your efforts

[@ANAND02120]

So if we increase the percepton in a layer so it will better fit the data increase percepton too much it will overfit. What is a similar explanation for increasing the layers? Increasing the layer increase the degree of the polynomial for example if the model is a polynomial fit ?

[@PawanSharma-wp2hi]

this playground tool is really awesome. thanks a lot bro I have recently started learning AI and i am watching this play list after completing unto CNN from other sources but after following this playlist now few fandas are clear.

[@Lullurluli]

Bhai kya jabardast explanation diya hai🙏

[@10yearsago84]

Thank you for the awesome explanation sir !! Really loved it

[@narendersingh6492]

In this video i started to understand Deep Learning

[@yogeshsangwikar9951]

excellent explanation visually ! Thanks

[@kasiviswanath7981]

This is the KZbin channel that I am looking for

[@akhileshsharma8531]

English vocabulary doesn't have a word for you. how awesome^infinite teacher you are....

[@pankajgoikar4158]

I'm speechless... You are super se bhi upper. ❤❤❤❤❤❤❤❤

[@siddheshmadkaikar1645]

This is really an amazing explanation!

[@umadevi1780]

I really impressed by your videos Nithesh ❤

[@ramsagar8977]

mind blowing explanation, just loved it sir 😍 Thanks you so much

[@SahdevSaini-sh8fe]

This is very helpful Sir

[@RajaKumar-yx1uj]

Sir, Agar data same hai, perceptron bhi same hai to, dono perceptron ka weight and biases alag alag kaise ayega? 8:44

[@campusx-official]

Nai aayega samjhane ke liye simplify kiya tha

[@flakky626]

Same doubt I had thanks sir for clarifying it

[@life_well11]

Can you please suggest a book?

[@PankajSingh-pp9jg]

Plz Complete this whole deep learning Course. Its a request. And Thank you for this explanation too good.👏

[@divyapallapu841]

I also found way of explanation very simple.

[@dravikumar1578]

Awesome explanaton sir, with awesome diagrams, really hats off to you

[@dravikumar1578]

If someone ask me how could a teacher should teach to students, I wiil defiitely show them, this is how a teacher to be.

[@pavantripathi1890]

Wow. What a wonderful explanation!

[@pruthvika.v182]

It is very bad that I am able to like this video only once....it deserves 1000 likes from me,

[@akshaythakor5501]

I am from Gujarat so I will say in Gujarati, majja padi gai ,sir

[@udaychauhan7070]

fabulous explanation

[@Sandesh.Deshmukh]

Absolute gem 🙌

[@mh5_4_01]

behtreen hogya sir ji

[@yash_Haramkar]

but what if the data is not seprated by any way instead, it is mixed and creating boundries is not possible?(means problem is not about classification)

[@mohitkushwaha8974]

Why we are learning mulltilayer perceptraon if we have number of ML algorithm for classification the data???

[@ashisharora9649]

Sir, I feel glad that I am following you for a very long. I also came up with this thought and spent hours on multiple videos and chat Gpt and no one could evident those thoughts. But you explained it so simply that I can never forget this. Thanks! I hope my teacher could explain this easily. More Life to you sir. If you do not mind, can I use the snapshot from this video in medium blogs and will also promote this channel and you (my real mentor) there?

[@Sarthak-g3m]

great explaination sir!!!!

[@rajeshpal5603]

Oh my god,You are awesome,The way you teach🥰 sending love from Bangladesh

[@avinashbhardwaz5717]

What to say your explanation? Its really sound awesome , thanks. Great explanation.

[@CodeWonders_]

Amazing teaching 👏

[@umarzafar7759]

Much helpful Sir