Skip to content

A deep learning-powered repository for training and comparing CNN models, designed to achieve accurate and efficient image classification

Notifications You must be signed in to change notification settings

SitingT/DeepVisionCraft

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Train to recognize images!

LetNet/AlexNet

a.  We have 64 images in each batch of data used for training.
Here is a sample batch of the data we will use.

batch_data

b  Due to the computer's performance limitations and time constraints, 
the model was trained 19 times and saved the best parameters, 
achieving an accuracy of 88%. The graph indicates that the training values closely align with the actual values.

training_graph

About

A deep learning-powered repository for training and comparing CNN models, designed to achieve accurate and efficient image classification

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages