#1 Solved Example Back Propagation Algorithm Multi-Layer Perceptron Network by Dr. Mahesh Huddar

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#1 Solved Example Back Propagation Algorithm Multi-Layer Perceptron Network Machine Learning by Dr. Mahesh Huddar
Back Propagation Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-zAPHIAGBjwE.html
Derivation of Back Propagation Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-XN5IRqtFhOY.html
#1 Solved Example Back Propagation Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-tUoUdOdTkRw.html
#2 Solved Example Back Propagation Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-n2L1J5JYgUk.html
#3 Solved Example Back Propagation Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-AWhboi1aTxI.html
#4 Solved Example Back Propagation Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-C3EQuy0jBGw.html
Back Propagation Algorithm with bipolar weights: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-otEGgxlh_EY.html
Multi-Layer Perceptron LearningSolved Example: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ItkSCYzSD34.html
Multi-Layer Perceptron Learning: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-tTjcakAuHPI.html
Gradient Descent Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-MUoEv1Hv0KM.html
Gradient Descent and Delta Rule: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ktGm0WCoQOg.html
The following concepts are discussed:
______________________________
Solved Example Back Propagation Algorithm,
Back Propagation Algorithm Solved Example,
Back Propagation Algorithm,
Multi-Layer Perceptron Network,
Back Propagation Algorithm Machine Learning,
Back Propagation Algorithm Multi-Layer Perceptron Network
Derivation of Backpropagation algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-XN5IRqtFhOY.html
Gradient Descent Algorithm: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-MUoEv1Hv0KM.html
Gradient Descent and Delta Rule: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ktGm0WCoQOg.html
Machine Learning - ru-vid.com/group/PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Big Data Analysis - ru-vid.com/group/PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O
Data Science and Machine Learning - Machine Learning - ru-vid.com/group/PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Python Tutorial - ru-vid.com/group/PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT
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Опубликовано:

29 янв 2022

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Комментарии : 205

@akinyaman Год назад

man l looked many bp explanations and most of them telling of rocket science stuff this is the easy and clear one ever, thanx for sharing

@safayetsuzan1951 Год назад

Sir, you deserve a big thanks. My teacher gave me an assignment and i was searching for 2 days on youtube for weight calculation. But finally your video has done the work. It was really satisfying. Thank you sir.

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@BloodX03 Год назад

Damn sir, u are the best youtube teacher in AI.. Love youu ma sir

@R41Ryan Год назад

Thank you. I've been trying to implement a reinforcment algorithm from scratch. I understood everything except back propogation and every video on it that I've watched has always been vague until I saw this video. Good stuff!

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@joeystenbeck6697 Год назад

This makes the math very clear. I now know the math and have some intuition, so I hope to fully connect the two soon. Thanks for the great video!

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@shivamanand8019 9 месяцев назад

It looks like error in ∆wji notation you followed just opposite @@MaheshHuddar

@jarveyjaguar4395 Год назад

I have an Exam in 2 days and your videos just saved me from failing this module. Thank you so much and much love from 🇩🇿🇩🇿.

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@shreyaankrao968 9 месяцев назад

I got crystal clear understanding of this concept only because of you sir. The flow of video is excellant, appreciate your efforts!! Thank you and keep up the good work !!

@MaheshHuddar 9 месяцев назад

Welcome Do like share and subscribe

@tejasvinnarayan2887 Год назад

Very clear! How about bias b? What is the formula in case we add a bias?

@vnbalaji7225 2 года назад

Simple lucid example illustrated. Please continue.

@MaheshHuddar 2 года назад

Thank You

@khizarkhan2250 Год назад

Guys! Threshold or bias is a tunning parameter you can select something low like 0.01 , 0.02 or high like 0.2 to check error is getting low or not. I hope this will help you.

@paul-pp1op Год назад

Best video explanation on ANN back propagation. Many thanks sir

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@dydufjfbfnddhbxnddj83 Год назад

how did you update the weights of connections connecting input layer and the hidden layer?

@sahmad120967 11 месяцев назад

Great sir, it is very clear example how to calculate ANN. Thanks, keep being productive

@MaheshHuddar 11 месяцев назад

Thank You Do like share and subscribe

@LongZzz 8 месяцев назад

Thank you so much, this video comes right after I feel bad at machine learning and wanna give up but now I think it is not so hard as I think

@MaheshHuddar 8 месяцев назад

Welcome Do like share and subscribe

@mehmetakifvardar 6 месяцев назад

Mr.Huddar, thanks a lot for perfect explanation. One thing though, how do I calculate the change of bias term for each neuron in my neural network?

@sharanyas1565 Год назад

Very clear. Thanks for uploading this video.

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@princepritam71 Год назад

You taught Very good. Today is my exam. Your videos were really helpful. I hope I pass well without getting a backlog in this subject. 👍👍

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@lalladiva6097 Год назад

you are a life saver, thank you soooo much.

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@adilmughal2251 Год назад

Amazing stuff just to the point and clear.

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@sahanazbegam6913 11 дней назад

very clear thank you for the content

@MaheshHuddar 11 дней назад

Welcome Do like share and subscribe

@femiwilliam1830 Год назад

Good job, but why no account for the bias term before applying sigmoid function?

@ajayofficial3706 Год назад

Thank you Sir, for each and every point explain it.

@MaheshHuddar Год назад

Welcome Do like share and Subscribe

@abu-yousuf Год назад

Great work Dr. Mahesh. Thanks from Pakistan.

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@ushanandhini1942 2 года назад

Easy to understand. Give next one is CNN

@AbhishekSingh-up4rv 2 года назад

Awesome explanation. Thanks

@MaheshHuddar 2 года назад

Welcome Do like share and subscribe

@tanvirahmed552 2 года назад

Nice video, easily understood the topic, thank you

@MaheshHuddar 2 года назад

Welcome Do like share and subscribe

@alperari9496 4 месяца назад

I believe for hidden units, the w_kj in delta(j) formula should have been w_jk. Namely, other way around.

@alperari9496 4 месяца назад

And delta(w_ji) should have been delta(w_ij), again the other way around.

@steveg906 2 месяца назад

yeh i was about to comment the same thing

@msatyabhaskarasrinivasacha5874 2 месяца назад

It'd an awesome explanation sir....no words to thank you sir

@MaheshHuddar 2 месяца назад

You are most welcome Do like share and subscribe

@madhusaggi 6 месяцев назад

Can you please do vedios on Cnn with mathematical concepts..your vedios are much useful and understandable.Thank you

@arminmow Год назад

You saved me you're a hero thank you

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@df_iulia_estera 9 месяцев назад

Awesome explanation! Thanks a lot!

@MaheshHuddar 9 месяцев назад

Thank You Do like share and subscribe

@25fpslagger81 2 месяца назад

Thank you sir, all of you machine learning videos have helped us students a lot

@MaheshHuddar 2 месяца назад

Welcome Do like share and subscribe

@hemanthd623 2 месяца назад

@@MaheshHuddar Sir Can you solve problems on HMM , CNN pls

@usmanyousaaf Год назад

Last night !! Today is exam well explain boss

@ToriliaShine 3 месяца назад

thank you! understood the concept smoothly with your video!

@MaheshHuddar 3 месяца назад

Thank You Do like share and subscribe

@ToriliaShine 3 месяца назад

@@MaheshHuddar did that, question though. for the forward pass, what about biases? they are values with their own weights right. were they just, not included for this example?

@ToriliaShine 3 месяца назад

ah nevermind, got it from your next video in this series lol

@tlbtlb3950 Год назад

不错，老印！

@bharatreddy972 Год назад

Thank you So much Sir.....This videos made us clear understanding of Machine learning all concepts...

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@ervincsengeri1840 Год назад

Köszönjük!

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@bagusk_awan 8 месяцев назад

Sir, thank you for this great video! It was really helpful. I appreciate the clear explanation

@MaheshHuddar 8 месяцев назад

Glad it was helpful! Do like share and subscribe

@mr.commonsense6645 8 месяцев назад

GOATED Explaning, mantab mantab

@MissPiggyM976 Год назад

Very useful, thanks!

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@Ayesha_01257 4 месяца назад

Very Well Explained ...Keep up the Good Work

@MaheshHuddar 4 месяца назад

Thank You Do like share and subscribe

@a5a5aa37 8 месяцев назад

thanks a lot for your explanation!

@MaheshHuddar 8 месяцев назад

Welcome Do like share and subscribe

@flakysob 7 месяцев назад

Thank you so much! You saved me. I subscribed. Thanks

@MaheshHuddar 7 месяцев назад

Welcome Please do like share

@mdnahidulislam13 2 месяца назад

Clear explanation. recommanded...

@MaheshHuddar 2 месяца назад

Thank You Do like share and subscribe

@NotLonely_Traveler 2 месяца назад

Finally one that makes sense

@MaheshHuddar 2 месяца назад

Thank You Do like share and subscribe

@usmanyousaaf 2 месяца назад

Today is my exam again well explain sir

@srisangeeth4131 2 месяца назад

Concept is clear , i got confidence in this concept sir,thank you👍👍👍👍

@MaheshHuddar 2 месяца назад

Welcome Do like share and subscribe

@srisangeeth4131 2 месяца назад

@@MaheshHuddar sir can you provide videos in gaussian process in machine learning

@ram-pc4wk 7 месяцев назад

how are you deriving deltaj formula, u can include derivations of sigmoid functions.

@AnubhavApurva Год назад

Thank you!

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@iwantpeace6535 3 месяца назад

THANK YOU SIR , BIRILIANT INDIAN MIND

@MaheshHuddar 3 месяца назад

Welcome Do like share and subscribe

@tatendamachikiche5535 2 года назад

good staff thank u

@MaheshHuddar 2 года назад

Welcome Do like share and subscribe

@SaiNath-cw7yn 14 дней назад

thank u sir

@MaheshHuddar 14 дней назад

Welcome Do like share and subscribe

@SHUBHAMKUMAR-cd7fs Месяц назад

awesome.

@MaheshHuddar Месяц назад

Thanks! Do like share and subscribe

@umakrishnamarineni3520 Год назад

thank you sir.

@MaheshHuddar Год назад

Most welcome Do like share and subscribe

@sathviksrikanth7362 9 месяцев назад

Thanks a lot Sir!!!

@MaheshHuddar 9 месяцев назад

Welcome Do like share and subscribe

@iqramunir1468 Год назад

Thank you so much sir

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@priyaprabhu7101 2 года назад

Nice Video sir.. where is the bias here

@romankyrkalo9633 Год назад

Great video, easy to understand

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@AmnaCode Месяц назад

Thanks for solution

@MaheshHuddar Месяц назад

Welcome Do like share and subscribe

@AmnaCode Месяц назад

@@MaheshHuddar sure. Thanks 😊

@user-fl7bm8jc8o 11 месяцев назад

Thanks a lot sir 🙏🙏🙏🙏🙏🙏🙏

@MaheshHuddar 11 месяцев назад

Most welcome Do like share and subscribe

@imranimmu4714 2 года назад

thank you

@MaheshHuddar 2 года назад

Welcome Do like share and subscribe

@utkarshmangal6559 Год назад

you are a king sir. Thank you for saving me from my exam tommorow.

@MaheshHuddar Год назад

Welcome Do like share and subscribe All the very best for your exams

@makkingeverything6610 2 года назад

thank you man

@MaheshHuddar 2 года назад

Welcome Do like share and subscribe

@lakeshkumar1252 Год назад

thank you sir

@MaheshHuddar Год назад

Most welcome Do like share and subscribe

@color2653 Год назад

Thank you

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@jacki8726 Год назад

Very helpful

@MaheshHuddar Год назад

Do like share and subscribe

@pranavgangapurkar195 10 месяцев назад

in one epoch how many times back propagation takes place?

@ayushhmalikk Год назад

youre a legend

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@TXS-xt6vj 7 месяцев назад

you are a legend

@MaheshHuddar 7 месяцев назад

Welcome Do like share and subscribe

@shubhampamecha9650 2 года назад

And where is the b biased There should be some constant also?

@allahthemostmerciful2706 Год назад

Soooooo Good❤

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@tuccecintuglu404 5 месяцев назад

YOU ARE THE GBEST

@arj1045 Год назад

well done sir

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@pritampatil4669 2 года назад

What about the bias terms ?

@oposicionine4074 Год назад

How do you update de weights if you have more input data?? In this case he only has 1 input, how do you do it with 2 inputs? Do you do the same twice?

@animeclub8475 5 месяцев назад

everyone says "thank you", but only a few understand that this video is useless if there are more neurons on one layer. Those who say "thank you" do not even plan to make a neural network

@seabiscuitthechallenger6899 День назад

👍👍👍👍👍👍👍👍

@pubuduchanna1736 Год назад

Thank you! This helped me a lot!

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@Cobfhd 2 месяца назад

The formulars for delta W only work because of the nature of the actiation function right? if it is a hyperbolic tangent or RELU , the formulas change right?

@steveg906 2 месяца назад

yes

@sowmiya_rocker 9 месяцев назад

Thanks for the video, sir. I have a doubt. How did you update weights without Gradient Descent (GD) or any other optimization technique, sir? Because I read in blogs that Networks don't get trained without GD and by only using backpropagation. In other words, my doubt is how does the calculation change if we also implemented GD in this? I'm a rookie; kindly guide me, sir.

@adityachalla7677 9 месяцев назад

gradient descent has been used in this video while updating the weights. the change in weights is done through gradient descent. But here he has not written the derivative math.

@rohanwarghade7111 6 месяцев назад

how he got ytarget = 0.5@@adityachalla7677

@user-se2fq2ug2t 5 месяцев назад

good video

@MaheshHuddar 5 месяцев назад

Thank You Do like share and subscribe

@user-kj3uo4ry4h 6 месяцев назад

I have a question, what if we have a bias term and some bias weights. Do we need to account for those or it would be 0?

@MaheshHuddar 6 месяцев назад

Yes you have to consider Follow this video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-n2L1J5JYgUk.html

@justenjoy3744 Год назад

From which book u have taken problem from?

@timebokka3579 Год назад

Can you explain this The input of a neuran is 0.377 Output of the same neuran is 0.5932 How this happens How does the 2.71^-0377 give the answer of 0.6867

@satwik4823 9 месяцев назад

GODDD!!!!!!!!!!!!!!!!!!!

@MaheshHuddar 9 месяцев назад

Thank You Do like share and subscribe

@user-gi8yl6qh3l Год назад

txs

@MaheshHuddar Год назад

Welcome Do like share and subscribe

@jinkagamura2820 2 года назад

I have a doubt. In many places, I have seen that the error calculation is done using the formula E = 1/2 (y - y*)^2, but you have calculated by using subtraction. Which is correct?

@keertichauhan6221 2 года назад

same doubt .. what is the correct method?

@priyanshumohanty5261 2 года назад

@@keertichauhan6221 I think there are different methods to compute the error. The one that this guy above has mentioned is mean square error. The one shown in the video is also correct, but using MSE or RMSE, are generally regarded as better measures.

@chukwuemekaomerenna4396 2 года назад

For a multiple data point, you use error function and for single output you make use of loss function. Loss function is error = actual - target Error function is 1/2(actual-target)square

@chukwuemekaomerenna4396 2 года назад

For a multiple data point, you use error function. Error function=1/2 summation(y actual - y target)^2. For a single data point, you use the loss function. Loss function= (y actual - y target)

@sharanyas1565 Год назад

The errors are made to be positive by squaring.

@muhtasirimran Год назад

I have a confusion. We use ReLU on hidden layer and not sigmoid. Shouldn't we calculate hidden layer's activation using ReLU instead of sigmoid?

@MaheshHuddar Год назад

Yes you have to Do calculation Based on activation function

@muhtasirimran Год назад

@Mahesh Huddar ik. You have used sigmoid function on the hidden layer. This will result in an error.

@SourabhKumar-nr1yq 7 месяцев назад

🙏🙏🙏🙏🙏🙏

@MaheshHuddar 7 месяцев назад

Do like share and subscribe

@amulyadevireddy5669 Год назад

What about the bias factor??

@halihammer Год назад

He did not add it to keep it simple i guess. But you can add the bias by making it a third input. Then the method doesnt change you just have a new (constant) input for each layer. Normaly set to one 1 and the weight associated will act as your bias. since 1*biasWeight = biasWeight. I just added 1 to my input vector and generate an additionol weight for the weights matrix. But im also just learning an not sure if im 100% correct..

@nhatpham5797 Год назад

hello, thanks for your lecture, please let me ask after we calculate Denta 5 in backpropagation, why don't we calculate new w35 and new w45 and then substitute in the formula Denta 3 and Denta 4 but have to use old w35 and w45, please reply, have a nice day

@MaheshHuddar Год назад

The error was due to old weights,hence update the weights using old weights

@nhatpham5797 Год назад

@@MaheshHuddar Thank you so much!!

@dhanushvcse4056 Год назад

Sir gradient descant video kocham fastta video upload pannuga

@MaheshHuddar Год назад

Videos on Gradient Decent: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ktGm0WCoQOg.html ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-5hB4_8o34GU.html ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ibKP0nIT7YU.html

@vaiebhavpatil2340 Год назад

based

@MaheshHuddar Год назад

Based...?

@lakshsinghania 7 месяцев назад

sir, also each perceptron has bias with it right ?

@MaheshHuddar 7 месяцев назад

Yes

@MaheshHuddar 7 месяцев назад

Follow this video for bias: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-n2L1J5JYgUk.html

@lakshsinghania 7 месяцев назад

Thank u sir a lot!! @@MaheshHuddar

@kaavyashree6209 9 месяцев назад

Sir how to update bias in back propagation

@MaheshHuddar 9 месяцев назад

Refer this video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-n2L1J5JYgUk.html

@BujjiNaveen995 Год назад

Great

@MaheshHuddar Год назад

Thank You Do like share and subscribe

@BujjiNaveen995 Год назад

@@MaheshHuddar done 👍

@vinayvictory8010 Год назад

At what stage we have to stop Forward and Backward pass unti Error becomes zero

@muhtasirimran Год назад

this is specified as epoch and must be given in a question. There is no defined condition to stop. It really depends on your needs.

@redwanhossain7563 Год назад

what about bias

@slimeminem7402 Месяц назад

It is assumed to be zero here

@kulbhushansingh9131 8 месяцев назад

it will be a3, a4 and a5 instead of a1,a2,a3 while finding the forward pass

@kulbhushansingh9131 8 месяцев назад

the notations of delta w are also wrong, this man fcukrd up the notations

@kulbhushansingh9131 8 месяцев назад

but honestly teaching good

@amitasharma5481 Год назад

Hi, can I contact you, I need to solve my assignment with 2d vector data with mixture model. i need to perform EBP. Can you please tell me how can I contact you.