#28 Back Propagation Algorithm With Example Part-1 |ML|

Telegram group : t.me/joinchat/G7ZZ_SsFfcNiMTA9
contact me on Gmail at [e-mail]
contact me on Instagram at / trouble_free_youtube
Thank you for 1000 subscribers video: about me • THANK YOU FOR 1000 SUB...
Design Patterns Playlist: • #1 Introduction to Des...
Infosys Recruitment 2021: • INFOSYS 2021 RECRUITME...
Cloud Computing Playlist: • Cloud Storage from LAN...
Mobile Computing Playlist: • #1 Introduction to Mob...
Data Warehouse & Data Mining Playlist: • #1. Introduction To Da...
All Placement related videos : • TCS NQT JANUARY 2021 I...
Cryptography & Network Security: • #1 Introduction & Need...
Managerial / Business Economics & Financial Analysis: • #35 Double Entry Book ...
Operating Systems Playlist : • #1 Introduction and ob...
Aptitude Playlist : • #1 Time & work part-1
Grade 10 math chapter-6 (TRIANGLES): • #15 Triangles- Introdu...
Grade 8 science chapter-4 (Metals & Non-Metals): • #17 Displacement React...
Grade 10 math chapter -8 (Introduction to Trigonometry): • #12 Introduction To Tr...
Grade 8 science chapter-11 (Force & Pressure): • #12 Force and pressure...
Grade 8 math (NCERT): • #1 Introduction to rat...
Grade 10 Math(NCERT): • #1 Real number definit...
Grade 8 Science (NCERT): • #1 Crop Production and...

[@ankushmondal8351]

Finally I found a nicely explained video tutorial of ML . It will help me a lot. Thank you very much

[@dcrespin]

A very nice video with abundant didactically talent. It may be worth to note that instead of partial derivatives one can work with derivatives as the linear transformations they really are, and also looking at the networks in a more structured manner thus making clear how the basic ideas of BPP apply to much more general cases. Several steps are involved. 1.- More general processing units. Any continuously differentiable function of inputs and weights will do; these inputs and weights can belong, beyond Euclidean spaces, to any Hilbert space. Derivatives are linear transformations and the derivative of a neural processing unit is the direct sum of its partial derivatives with respect to the inputs and with respect to the weights; this is a linear transformation expressed as the sum of its restrictions to a pair of complementary subspaces. 2.- More general layers (any number of units). Single unit layers can create a bottleneck that renders the whole network useless. Putting together several units in a unique layer is equivalent to taking their product (as functions, in the sense of set theory). The layers are functions of the of inputs and of the weights of the totality of the units. The derivative of a layer is then the product of the derivatives of the units; this is a product of linear transformations. 3.- Networks with any number of layers. A network is the composition (as functions, and in the set theoretical sense) of its layers. By the chain rule the derivative of the network is the composition of the derivatives of the layers; this is a composition of linear transformations. 4.- Quadratic error of a function. ... --- Since this comment is becoming too long I will stop here. The point is that a very general viewpoint clarifies many aspects of BPP. If you are interested in the full story and have some familiarity with Hilbert spaces please google for papers dealing with backpropagation in Hilbert spaces. A related article with matrix formulas for backpropagation on semilinear networks is also available. For a glimpse into a completely new deep learning algorithm which is orders of magnitude more efficient, controllable and faster than BPP search in this platform for a video about deep learning without backpropagation; in its description there are links to a demo software. The new algorithm is based on the following very general and powerful result (google it): Polyhedrons and perceptrons are functionally equivalent. For the elementary conceptual basis of NNs see the article Neural Network Formalism. Daniel Crespin

[@ascreation3123]

Thank you so much....😍😍I understood every topics easily in only one time

[@nikhil327]

My exam: few hours to go

[@srilekhya3724]

Mam can you please explain the videos on distributed system ...for4-2semester exams your videos are very helpful for exams mam

[@Hussain1218]

Nice explanation mam ... Thank you

[@nagasankar2566]

Excellent Mam...Superb

[@vaibhavshreyakar5991]

Awesome explanation ❤

[@manikandanchinnachamy1577]

NICE EXPLANATION

[@saisasidhar8006]

thank you so much for such great explanation ma'am

[@rohanlucky4810]

bro can uh explain me

[@saisasidhar8006]

@@rohanlucky4810 yaa sure bro

[@vivekbare9919]

@@saisasidhar8006 bro can you give your number

[@aksharsai232]

Hello mam this back propagation is similar to the deep learning subject . and also please keep deep learning subject tutorial also.

[@anshulagrawal5534]

My Final EndSemester is tomorrow morning, could you please provide notes for the complete Convolution Neural Networks.👨‍🎓

[@raparthipavankalyan2864]

verey level expalanation.💥💥

[@TroubleFreevideos]

From which university you are ?

[@avinashreddy5541]

my suggestion is you should've put arrows in between the lines to know which line is going in which direction.

[@ayushsharma4842]

aap bot acha padhati ho mam kal mera paper hai or mera poori tahah tayaar hu mam sirf aapke karan mam sirf apke karan mam :) ;)

[@TejashwiniVENGCS]

THANK YOU SO MUCH WELL UNDERSTOOD

[@saihemanth148]

Mam Can You Please Explain Hmm concepts on or before this Friday because we have exam on 22nd. from gitam banglore

[@engineerstudent3041]

nice explain

[@dreamshazel2320]

thank you so much easier u explained

[@sardarsheryar1058]

Hi princess Mera paper kal ha , mei sab umeedaen chor chuka tha but godd damnnittt i found you my princess

[@varalakshmigb6129]

Why have you not explained stochastic gradient descent rule? Please do it

[@JayA-bb6di]

HAE'EYH ONE. 😍 I LOVE THIS ALREADY.

[@sathwikyt5984]

Madam thank you so much for the explanation

[@priyanshusonii]

Rajasthan Technical University ,DATA MINING & TECHNIQUES , KINDLY make a separate playlist according to its syllabus , PLEASE.

[@jabishs3204]

Mam how you obtained value for bias factor b1=0.35,b2=0.60

[@sohailsnow]

can we take our examples (like random numbers ) as weights and inputs????

[@manojk1849]

ma'am want distributed systems subject videos on jntu syllabus please upload as early as possible

[@praneeth_.45]

Mam we have machine learning exam tommarow. So please kindly share some important question ☺

[@user-qc6lc8sv1k]

Nice video

[@apoorvpandey5058]

Thank you very much ma'am

[@littlecutie7882]

Thankyou 😊

[@c-spacetime4684]

Thank you for the content, additionally, it is quite funny to pronounce H as "hatch"...😂😂

[@SantoshKumar-eq2hn]

What is the criteria to select biased factor b.

[@maruthikunchala5725]

Thank you maam!!!❣

[@arshdeepswarn5032]

can you please tell me what is lineraly seprable data , im not understanding from vidoes

[@mefirstcse2091]

Will u teach iot and multicore Architecture

[@ajithunnikrishnan4243]

Mam,Iam ktu btech student.Our neural network and deeplearning exam is scheduled on 4th march

[@Bhuvaneshscout]

Mam i am from tamil nadu ,can you put a video on gaussian mixture model pls

[@StrivesCODM]

Well explained.

[@sanatanisher07]

Thanku mam

[@Quoteofthe__day2024]

ma'am while calculating h2 you should use b2 (bais-2) instead of b1 please correct this

[@clarkpaul3489]

Can you prepare playlist for artificial intelligence also

[@akhilakhil6339]

Mam how to calculate e power 0.90

[@vinothkumarn3929]

if anybody from Government College of Engineering Dharmapuri like here Exam date : coming soon...............

[@kavithareddy1531]

I need some help in kernel PCA and matrix completion generative models (mixture and latent factor)

[@jennyjames5097]

Madam meeru aa College Lecturer🤔 Just Asking .........🙂

[@-RAMESHC]

How u taken values of b1and b2 can u explain

[@techcompany_]

Thankyou

[@trujichandu8684]

Please do videos on deep learning also

[@timebokka3579]

How the hiden layer gives that output ? Any one explain Explain ......

[@sravika5541]

Can i write this for neural network subject

[@vaishistajenekeliye2849]

U cn explain the question with solution 1. back propogation Rule for artificial neural network why is it not likely to be trapped in local minima? I have exam on 29 so as possible upload it's urgent mam plzz

[@adityapratapsingh4776]

on calculating o1 why are you taking b2

[@phanishnathsai2243]

My exam is on 12th August.. I need explaination of types of perceptron. Like there are discrete perceptron, continuous perceptron,multi category single layer perceptron.. each explain separately.. college name is Jawaharlal Nehru University Hyderabad

[@No-oNe_____]

Bro u should not demand!!!, You should request 🙂

[@yoy4629]

how did it go bro?

[@itv5610]

@@No-oNe_____ ok simp

[@No-oNe_____]

@@itv5610 ok simp

[@zahramirza1146]

You got notes of ml?

[@yoy4629]

thank you

[@Naniipola]

what shoul be write as the hiddden factor

[@shwethahb4309]

Hi mam, I'm Shwetha from UBDT College, Davangere. I have on 12.10.2023....plz make according to the vtu syllabus for M Tech scheme 2022 CSE

[@dksingh9771]

Thank you mam. Clear 😍😍😍😍💞💞💞💞

[@Aishwarya__J]

Your english is good

[@selvijs1541]

Dgvc exam on June 6 subject name enterprise computing

[@aryanudainiya9486]

ma'am i have a exam in next 10 days and the content in my course plan is not available anywhere ma'am plz help i am sharing my course plan with you on mail and I am in upes university of petrolium and energy studies

[@zainshah3010]

how to calculate h1 out

[@navathevaishnavi3045]

Can you please explain BST(basics of sensors and technology) subject for CSE students even we can't find ani all in one of that subject and owr exam is on soon i.e,25th aug I'm from kakatiya institute of technology and science clg

[@navathevaishnavi3045]

3-2 sem

[@SumanthG2904]

How do we get e value

[@gopipaladugu5401]

If we write the matter wich is explained in the vedio we will get marks in jntu exam aa

[@keerthikapalyala9447]

How can we find the bias value

[@ashvithavalaboju9542]

is this notes enough to write in exams mam

[@mansirajendrasinhparmar5757]

Mam data mining subject k sare video banaiye hamari exam hain 19/4/22, Vadodara institute of engineering

[@amankumarmittal3688]

How to find b1 bias factor

[@andleebtayyaba4662]

I want to prepare my exam of neural network and machine learning could you please help me in that subject completely my exam date is 13 may 2022.Please give me response.

[@bandaruvictoriarani]

Sister I need briefly about back propagation without any examples plzz can you do this video for me ...I had exams on 24th onwards ..plzz

[@tharunshiva33]

passed ah...🥲😅

[@soubhagyadas1373]

How can I get the e value?

[@mallepalligautham212]

Sri venkatewsara university andhra pradesh october 2nd week artificial intelligence

[@vaishnavireddy2715]

Clustering concepts

[@jeevi4123]

Mam 1 dout how we take b1 value and b2 value or is it in question

[@csebtech]

same doubt

[@mounikapeddi3368]

Hi mam I have an ml exam tommarrow Till now I didn't know the single topic please explain now only .my college is affiliated to jntuk

[@mounikapeddi3368]

Mam please help me

[@ruchithadiddigam9872]

We need back propagation algorithm That is step by step process

[@Khanz414]

Mam plzzz explain selection sort algo and pseudocode My exam 12dec 2023

[@Ireland-qx9dq]

I need help for neural network example

[@VAISMADHANA]

cryptography lecture videos..........VTU 7th sem..............need lecture videos

[@roghanr5799]

Hlo rithik

[@pasumarthyjyothi3917]

hi mam i am baba institute of technology and sciences i have exam on 16th november so can u help me for doing videos on machine learning

[@naveenNaveen-tz3xk]

Exam at June 9th for 4th sem 2nd year over Anna University syllabus

[@satishdonerao4778]

date of my exam is 12/july please realelse a important question vedeo on machine learning DBATU univercity lonere

[@user-ed7mq4we8f]

hi mam i have my exams starts from march 4 2024 i request you to post the ML topics . my college name is Ace engg college

[@SumitThakur-hv9ec]

Panjab university. Thank you.

[@PavanKumar-df2tb]

MJRA engineering college sem2 on 8th November

[@Mr.RakeshDumpala02]

Stm (software testing methodologies)exam on 26th augest pls made videos as soon as possible #jnuth

[@pikachu-rd8jy]

Mam I need your help ,I missed the I'd verification meeting what should I do know.

[@Shirisha-ew9nm]

Super

[@pavaniakula870]

Tomorrow is my exam Narasimha Reddy Engineering College

[@rohanlucky4810]

mam i have exam at 10AM today ,only 8hrs left soo pls upload fast

[@harshithroy5651]

Niceeeeeeeeeeeeeeee bro all the best for your future 👍🏽

[@balamurali9498]

Pls help this poor guyy🙂

[@TroubleFreevideos]

How was your exam

[@ksuhas2743]

Bro u have exam in few more hours and asking her to upload videos. Do u think she is some magical robot for you 😂😂next time when you request her Pls give her some time. All the best for u next time 😅

[@lingeshs901]

😂😂

[@aliabdi2759]

I love this women.

[@gandheakanksha5010]

july VIMTW

[@vishwasgoud7866]

Mam I have exam by tomorrow afternoon 2clock

[@prabhashinienaganti9990]

Exam date...10th august,R18 regulation cse syllabus .

[@bhargavkandikonda1226]

Mam please explain the confusion matrix and problem on hypothesis test and confusion matrix

[@MrBlack-dn8et]

Vikas College of engineering and technology, Vijayawada ml exam on 16/11/2022

[@kushagramandal1501]

IIT Dholakpur

[@nandupasam1099]

27/7/22 chalapathi institute of engineering and technology

[@AbdulJaffar-jz6xs]

Done

[@tarun7862]

Offo😂