Add 10 fold cross validation to some DL code -- 2

I gang Opslået 3 måneder siden Betalt ved levering
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am looking for a freelancer to add 10-fold cross validation to my Convolutional Neural Network (CNN) deep learning models.

I have some notebooks containing code and a comparison file (ROC, PR, ...) for the output pickles files that output from these notebooks.

the required is to add 10 fold cross validation to these notebooks.

then fix the figures (ROC, PR,..) and output values to show the effect of 10 fold cross validation.

The main purpose of adding 10-fold cross validation is to improve the measurements results of my model.

This will help me evaluate the performance of my model and improve its generalization.

Python Deep Learning Machine Learning (ML) Algoritme Kunstig intelligens

Projekt ID: #36697962

Om projektet

8 bud Remote projekt Aktiv 3 måneder siden

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(11 bedømmelser)
5.1

8 freelancere byder i gennemsnit $13 timen for dette job

BarryCrouch

Hi there! How much is your dataset for 10-fold cv? I can help you if you share the details and data:) I am a highly experienced machine learning and deep learning expert with a strong track record of delivering succes Flere

$30 USD in 5 dage
(19 bedømmelser)
5.0
avinashdubeyg209

Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute th Flere

$11 USD in 7 dage
(43 bedømmelser)
5.2
Dhawan8787

Hi,I understand that you are looking for an expert, I have gone through the project description very carefully there are some initial queries that i have we can discuss those over chat. I will do my best for you. Than Flere

$11 USD in 7 dage
(3 bedømmelser)
3.4
ihypelab

I will thoroughly analyze your existing deep learning code to understand its structure, model architecture, and data handling processes. I will modify the code to incorporate the 10-fold cross validation technique. Thi Flere

$11 USD in 7 dage
(0 bedømmelser)
0.0