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

[tornadomalviya]

We need teachers like you, appreciate your skills.😊

[prateekjaiswani]

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

[markandrewsencil]

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.

[sushiltry]

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

[rohankumar]

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 😊

[divyanshgupta]

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

[mohdibrahimahmed]

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

[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

[shreyasg]

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

[rahulrajsodadasi]

Lovely and addicting videos!!, Keep making moreee, Love <3

[ChLakshmiLaya]

Mam Tqq soo much ❤
This content is helping me a lot

[bhavikprajapati]

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).

[ravindrav]

Wow really good explanation, every single point was very informative

[-Soujanya-wtds]

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

[abhishekbhalerao]

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.

[bhavithareddy]

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

[ksalma]

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

[MBindu-kcnj]

Within 3 months we have sem
Thank you

[cbdbrawlstars]

When weights are initially taken, what would be a good estimation so that the number of iterations decreases ?

[manohar]

I understood all concepts clearly I want PDF notes Pls reply