12. Perceptron Learning Rule to classify given example Solve example Soft computing by Mahesh Huddar

12. Perceptron Learning Rule to classify given example Solve example Soft computing | Machine Learning by Mahesh Huddar
The following concepts are discussed:
______________________________
How to use Perceptron Learning Rule to classify a given example,
Perceptron Learning Rule to classify given example Solve example,
Perceptron Learning Rule Solve example Soft computing,
How to classify data using the perceptron rule
********************************
1. Blog / Website: www.vtupulse.com/
2. Like Facebook Page: / vtupulse
3. Follow us on Instagram: / vtupulse
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates

[@princepritam71]

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]

Welcome
Do like share and subscribe

[@tushartyagi7940]

implement OR function with binary inputs and bipolar targets using perceptron training algorithm upto 3 epochs.

[@deepakgupta5455]

Sir can you explain how you are choosing the threshold for the activation function in this

[@emrglr6963]

Thanks, can we also do linear algebra instead of going over data points step by step?

[@VenkateshVenky-wk8tt]

Hi sir can you upload hopfied rules back propagation kohonen gross berg examples

[@niloufargholami432]

That was really helpful thank you so much

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@harshavardhansaravanan6478]

Sir this sums notes???

[@govindsharma7696]

Can u pls implement the xor gate using perception network

[@MaheshHuddar]

Sure
I will upload tomorrow

[@ahwazdarweesh8054]

Can you send me the slides please

[@bhavikprajapati2614]

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).

[@harshitasharma4034]

for 2nd epoch what are the weights that we let?

[@MaheshHuddar]

Weights obtained after first epoch

[@harshitasharma4865]

​@@MaheshHuddar -2 2 0 0 0 ones is picked right?

[@impriyanshu16]

@@harshitasharma4865 yes!

[@daudafzaal2155]

how can we decide leraning rate ??

[@MaheshHuddar]

Learning rate is a hyperparmeter , you should set it to a small number while training your model
While solving numerical examples, learning rate will be given in the problem definition

[@daudafzaal2155]

@@MaheshHuddar If in problem defination learning rate not mention then we will set learning rate 1 ??

[@sanikadhuri2800]

Yes

[@robo4827]

​@@daudafzaal2155 it will be given in the question bro don't worry

[@Ayushsharma-qc7qx]

​@@robo4827 how did 4 as net input at epoch 2