Explain in deep-detailed the backpropagation step for pooling layer

$10-18 CAD

Imekamilika

Imechapishwa

almost 2 years ago

$10-18 CAD

Kulipwa wakati wa kufikishwa

I do know there are a lot of webpages trying to go deep down in how neural networks learn using gradient decent and the derivatives. What I need a really deep explanation of how gradient decent and derivatives are done in VGG16 by using all the formulas and all the derivatives and specifically for pooling layer(average pooling). Mathematics equations and explanations in one epoch. I do not need code just mathematics and explanation. Budget is $20. deadline is 2 days.

Mathematics

Education & Tutoring

Deep Learning

Machine Learning (ML)

Kitambulisho cha mradi: 33655357

Kuhusu mradi

2 mapendekezo

Mradi wa mbali

Inatumika 2 yrs ago

Unatafuta kupata pesa?

Barua pepe

Faida za kutoa zabuni kwenye Freelancer

Weka bajeti yako na muda uliopangwa

Pata malipo kwa kazi yako

Eleza pendekezo lako

Ni bure kujiandikisha na kutoa zabuni kwa kazi

Imetolewa kwa:

@venishpatidar

Hi I am a computer engineer with A.I major. I have two research paper published on the neural network topic and one for creating a neural network from scratch. I am pretty sure I can clear all your doubts, even after it u will be able to code those layer for yourself

$15 CAD ndani ya siku 1

0.0

(0 hakiki)

0.0

2 wafanyakazi huru wana zabuni kwa wastani $13 CAD kwa kazi hii

@IdealExpert

Explain in deep-detailed the backpropagation step for pooling layer This project is my strength and I can fulfill your requirements properly within your given deadline. I always give plagiarism-free work to my clients at very competitive prices. I have more than 10 years of writing experience, I have served more than 4000 clients on other forums including; Upwork, Fiverr and Guru. I have full grip over; Reports , Essays, Case Studies, Summaries and Dissertation Writing. Please give me a chance to show you my writing abilities. I am waiting for you. :)

$10 CAD ndani ya siku 1