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

Жыл бұрын

Welcome Do like share and subscribe

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

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

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

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

Can u pls implement the xor gate using perception network

@MaheshHuddar

Жыл бұрын

Sure I will upload tomorrow

That was really helpful thank you so much

@MaheshHuddar

Ай бұрын

Welcome Do like share and subscribe

Sir this sums notes???

Can you send me the slides please

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

@MaheshHuddar

8 ай бұрын

Weights obtained after first epoch

@harshitasharma4865

8 ай бұрын

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

@impriyanshu16

6 ай бұрын

@@harshitasharma4865 yes!

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).

how can we decide leraning rate ??

@MaheshHuddar

3 ай бұрын

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

3 ай бұрын

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

@sanikadhuri2800

2 ай бұрын

Yes

@robo4827

Ай бұрын

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

@Ayushsharma-qc7qx

25 күн бұрын

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