#25 The Perceptron and The Perceptron training rule |ML|

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[@tornadomalviya1401]

We need teachers like you, appreciate your skills.😊

[@markandrewsencil7236]

This a great explanation, honestly. I tried to watch other videos about perceptron too but it made me confuse even more. Thank you for the vid.

[@prateekjaiswani8755]

You explained Very Well Mam ... No doubts we need Teachers Like You Keep going .. You Are doing Great .. Thanks A lot

[@mohdibrahimahmed1876]

1:22 here the value given as output by threshold function will be 0 or 1 not -1 or 1

[@rahulrajsodadasi9680]

Lovely and addicting videos!!,Keep making moreee, Love

[@sushiltry]

Very good and simple explanation . If you can add a small problem then it might help students. All the best for your work

[@rohankumar1603]

Hey dude, just be confident and stop asking sorry if people dint understand, you did great and you are doing great so be confident and make more details and your intro is very loud look into it 😊

[@arjungaming2706]

And mam is explaining very well🤩

[@railvikramvlogs]

But she's dudess not dude

[@Excalibur02]

​@@railvikramvlogs 😂

[@mango-strawberry]

​@@railvikramvlogs dudette 😂

[@Sushuu_ram]

she is more and more better than our faculty

[@shreyasg817]

your pronunciations, way of teaching and your sweet voice made this boring subject interesting, thanks a lot for that.....

[@mango-strawberry]

how this is boring lol

[@ajayrakhyani]

Thank you very much mam for your assistance. You don't need to be sorry. You helped me with it and I will not let you down in my exam :D

[@divyanshgupta3548]

Hey Shraavya! please make a video on these topics.
College - IIIT Allahabad
Dear All,
Your C2 evaluation is scheduled on Tuesday 8th November, during your class time of 9:00 AM to 11:00 AM.
Syllabus includes: KNN, Perceptron, Dimensionality Reduction Techniques: PCA, MDS, Isomaps, LLE, TSNE, UMap, MLE, Naïve Bayes Classifier, Decision Trees, Random Forest, Bagging, Boosting: Ada boost, XG Boost (and any other topic discussed/assigned in class).
All the best,
Dr. Muneendra Ojha

[@styloo007]

Hope it went well Bruh

[@anirudhsareen5246]

bhai kesa gaya paper???

[@mtmt1122]

Really your teaching is good mam

[@likithh176]

You really deserve more viewers 🔥🔥

[@Some_one_here]

Awesome explanation maam

[@ksalma4846]

I liked u r information sister....and about Ann also..it's awesome..plse keep going with these type of explanation...

[@rahulkl5636]

Best one sister thankyou ❤️

[@ravindrav1895]

Wow really good explanation , every single point was very informative

[@banglagayathri4321]

Thank you very much mam 🙏😊

[@Teju-bangaram]

Please do videos for deep learning

[@-Soujanya-wt6ds]

Your explanation is very easy and in a simple way please give an example regarding the topic

[@prateeksuryawanshi2796]

very good and simple explanation
mam

[@Donchandu420-oh6yu]

Thankyou mam kal mera paper hai..

[@bhavikprajapati2614]

Explain Rosenblatt’s perceptron model. How can a set of data be
classified using a simple perceptron? Using a simple perceptron with
weights w0, w1 , and w2 as −1, 2, and 1, respectively, classify data
points (3,4); (5, 2); (1, −3); (−8, −3); (−3, 0).

[@kancherlaasritha2744]

R18 JNTUH
Exam on Aug 21

[@abhishekbhalerao9174]

Hiii mam. u r explaining all thing very well . I am engineering student. We have a subject in third year in mechanical branch is AIML. I am student in snjb engineering coe chandawad. Under sppu University. So Aiml theory exam is on 29 Jun. ..please explain topics shortly. It is IT based subject fully therotical. very hard. I request to u please make video shortly.

[@himanshurai5995]

You explained very well 😊

[@ankitattri6813]

Lovely explanation 🤩🤩

[@shankarivenkatesh3064]

Awesome explanation! Easily understandable and to the point explanation.

[@tanishkatomar3046]

mam plase make videos on soft computing also

[@sathyanamonisrikar6975]

Mam how can we calculate the target output in the above procedure?

[@amtulazeemwasiya442]

Ma'am can you please make a separate video on multi layer perceptron 😊

[@ANLE-bh3dv]

Neat explanation

[@RK_..]

A request, plz add link of previous videos in the description box that you mention in the running video, it'll be really helpful😊

[@AbhishekSharma-hd4ds]

GREAT WRK

[@HimanshuSingh-tp9ix]

Nice explanation

[@bhavithareddy4620]

Mam please make videos on types of perceptron also
I am st marys Institute of engineering
Our exam is on Tuesday I.e on 24th of august

[@sivasankar989]

Love you mam❤

[@danielpauljcs]

Thanku so much 👍

[@kirititadepalli1203]

Seeing your videos ,writing exams .👽

[@darkgraver9938]

veri nice

[@indranisen5877]

Nice explanation.

[@manohar9300]

I understood all concepts clearly I want PDF notes mam...... Pls reply

[@sridharreddy9559]

Design a two-layer network of perceptron to implement a) X OR Y b) X AND Y
Explain the concept of a Perceptron with a neat diagram

[@MBindu-kc2nj]

Within 3 months we have sem
Thank you

[@rahanshahh]

how do we calculate the threshold for the bipolar step function?

[@Forever._.curious..]

Ahw Thanks mam

[@srikarampriya4782]

Mam please make video according t o jntua syllabus of ML mam... I saw all your videos mam it's osm mam I can easily learn the things mam ... Please do the video of 5 units mam please reply mam

[@saitejachary3880]

Thankyou very useful notes.

[@KairavLive]

Just one numerical and it's blast

[@sandeepreddykoppolu6126]

Perceptron training and perceptron algorithm are same

[@umairnazir5579]

Yes only here the algorithm learned about weight and actual value

[@Makingmatters]

After 3 hrs i want to write my exam 😂

[@VivekSinghRao-ot1hw]

where can i get these notes?

[@ShaikMohammadusman-xj4ny]

Can you tell the Natural Language Processing subject topics

[@likhithreddy5586]

Make video on alvyin self driving car of machine learning

[@AntraSoni-ns2wc]

I'm having my exams tomorrow, thanks

[@Allinoneshorts_1105]

Mam can you please make vedios on introduction to data science (IDS) according to JNTUH r18 syllabus.your vedios are very helpful and and make as soon as possible because my exam are nearer.

[@varunsandesh23]

Deep learning

[@Priiluvsbudgie]

Umwahhh

[@Amangupta97656]

Today is exam😂😂

[@dhivya.b7406]

Mam one doubt in this unit they having a feed forward neural network that is single layer and multi layer and other topic perceptron also has single layer and multilayer both are same ah mam pls reply exam is near

[@yamasaketh7742]

Mam the video was really good. I understood the concept but it would be helpful if you explain the perceptron with a problem mam

[@TroubleFreevideos]

Yes I understood I’ll definitely do

[@paramjeetsingh1470]

Mam is types of perceptron is important if it is Then plz make a video on it mam

[@sa.creations520]

Plz upload video on linear seperability and linear regression.i request you to plz make a video

[@mereddyeswarreddy7042]

Explain kernel functions,overfittingand uniform convergence,svm,deep learning pls

[@searlstechnocity6386]

Mam, could you explain chi square test and its properties, advantages and limitations in business research methods

[@RLDacademyGATEeceAndAdvanced]

Nice videos

[@hrushikeshnethatla3665]

Thanks you

[@Mr_Mahadev-n8t]

mam do more videos it should be undrstandable

[@-Soujanya-wt6ds]

Please share these notes of machine learning, pdf with explanation and examples

[@vtrandal]

It seems you are missing comparison with zero. A perceptron using thresholding to determine the output. Greater than 0 then output = 1, else output = 0.

[@srinivasgoudpagidipathi577]

Is there any problems on this model...?

[@phanindrakumaryadav6056]

mam can you explain software engineering tomorrow i have sem exam

[@1o32-en9xl]

Is notes available of these lectures anywhere ?

[@madayaswanth1205]

Can we use sigmiod function formulas in multilayer perceptron topic mam

[@suchinpisipati]

tommorow akkaa....
26|07|2024

[@iswaryaravichandran8724]

I need perceptron learning algorithms in deep learning. And I am studying in MCC Chennai

[@lalithapanditharadhyula1703]

Nice explanation...mam can u pls upload video on Linear soft margin classifier for overlapping classes.

[@innocent._.sanju_]

Mam difference between CNN, RNN, LSTM

[@goturimanikanta2929]

Mam their is doubt that I did not come over the
Target out how it is generated can u plz tell me
About is plz

[@Kohali7547]

Hlo mam
I like your way of teaching
So can you please make more vedios on my syllabus??
SECTION-A
Basics: Biological Neuron, Idea of computational units, McCulloch-Pitts unit and Thresholding logic, Linear Perceptron, Perceptron Learning Algorithm, Linear separability. Convergence theorem for Perceptron Learning Algorithm.
Feedforward Networks: Multilayer Perceptron (MLP), Gradient Descent, Backpropagation, Empirical Risk Minimization, regularization, autoencoders. Implementing MLP with Keras, fine tuning Neural Network Hyperparameters
SECTION-B
Deep Neural Networks: Difficulty of training deep neural networks - vanishing/exploding gradient problems.
Better Training of Neural Networks:Reusing Pre-trained Layers: Transfer Learning with Keras, unsupervised pre-training, pre-training on an auxiliary task
Faster Optimizers: Momentum Optimization, Nesterov Accelerated Gradient, AdaGrad, RMSProp, Adam and Nadam Optimization, Learning rate Scheduling
Avoiding Overfitting through regularization: l1 and l2 regularization, Dropout, MC Dropout, Max-Norm Regularization
Newer optimization methods for neural networks (Adagrad, adadelta, rmsprop, adam, NAG), second order methods for training, Saddle point problem in neural networks, Regularization methods (dropout, drop connect, batch normalization).
SECTION-C
Custom Models and Training with TensorFlow,
Loading and Preprocessing Data with TensorFlow
Recurrent Neural Networks: Back propagation through time, Long Short Term Memory, Gated Recurrent Units, Bidirectional LSTMs, Bidirectional RNNs
Convolutional Neural Networks: Deep Computer vision using CNN: Convolutional Layer, Pooling Layer, CNN Architectures: LeNet, AlexNet. GoogLeNet, VGGNet, ResNet,Xception, SENet,, Object Detection
SECTION-D
Generative models: Restrictive Boltzmann Machines (RBMs), Introduction to MCMC and Gibbs Sampling, gradient computations in RBMs, Deep Boltzmann Machines.

[@saranyadoredla1162]

Madam can you please tell jntuk syllabus machine learning

[@d27malathik31]

Can u tell real time example with this

[@rintujose6520]

can you please explain AND and OR gates using perceptron

[@vishnupv2008]

Please write only on one side of the notebook page.

[@itsrsanimated]

Tomorrow my exam 🤔🤔

[@bhuvanms5733]

Can u pls make video on maximum likelihood estimation ,bias and variance ,bayes estimator ,parametric classification ,regression and model selection procedures plsss it would be a great help if u do our exams start from July 10th atleast before July 6th if u do it will be very helpful 🙏🙏🙏

[@error-my9ut]

mam intro change krdo bhot loud h legit exam h kl raat k 4 bje hain kaan ft gye

[@RSM_15]

Mam plz make a PDF of your notes mam PLZZ maku chala help avtadi

[@R_sravani]

Avnu

[@nithinkumar8256]

@@R_sravani hi

[@vinoliaanandan2647]

Unable to join the TM group.

[@arnd12940]

ITNU - ML

[@gopipaladugu5401]

If we write the matter which is said in the vedio will we passs the exam under jntuh

[@rohitpal8491]

Mam, I faced some doubts regarding mechanism of artificial neural network in machine learning

[@saikiranfinancialentrepren9174]

Ma'am is this ok for explaining theory or have to eloborate more to pass the exam

[@argulachanika]

We have sem exm

[@abhinav.a]

Jntu university r18 regulation web technologies (do not compare the syllabus for autonomous collages) my exam is on 14/06/2023

[@Shreyayadav-yb8wi]

can you explain problems based on perceptron clearly with steps....

[@nenavathshirisha1735]

Mam can u explain DAA subject

[@akulavarun7183]

Exam on 21st July 2022 , machine learning

[@vvb8121]

Mam .. can you provide notes 😢

[@tejas_machchhar]

I didn't get... why is this rule made?

[@vindhyareddy9616]

mam can you please make total syllabus videos before 18th august

[@TroubleFreevideos]

I’ll try to make at least 3 units