Perceptron | Single layer network and multi layer neural network in machine learning | Lec-40

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Wow, board pe padhana se jyada samajh aata hai 👍👍
Eye contact hota hai naa iss liya thayad
Great step

kundanrajput

Bais is not an error or gaps in weight of signals it is a boundary line to add sum of weight and inputs

mohdattiq

a simplest tripod cost is arround 200-300 rs.

pritamraha

Perceptron is nothing Iske aage ka tum log dekh lena👍🏻

rupamdigarse

what a coincidence, i am watching it on 5th april 2024, this video is posted on 5th april 2023

amankarn

What will happen when we will take w as zero, while "n" have no effect on the vector w and will only affect the scalar quantity of w
This is from the books, Maching Learning with PyTorch and Scikit-Learn
```
we could initialize the weights to zero (in fact, this is done in the
original perceptron algorithm). However, if we did that, then the learning rate
(eta) would have no effect on the decision boundary. If all the weights are
initialized to zero, the learning rate parameter, eta, affects only the scale of the
weight vector, not the direction. If you are familiar with trigonometry, consider
a vector, v1 =[1 2 3], where the angle between v1 and a vector, v2 = 0.5 × v1,
would be exactly zero
```
These above words is from the book itself, Please Explain me how this works

AnimeJ

bhai hum btu valo k ispe numerical ata h plz voh bhi bta do

suniljat_

Keep on I am not demotivating
Just some. Changes I am suggesting. In my past Comment.

NIKHILPATIL-ru

English to hindi wakt badal diye jazbat badal diye

abhishekdubey

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