paul-data-science / Deep_Learning_CNN Public

Managed to design and train (curve fit) custom CNN model with less than 7K animal images for 6 animal classifications without using data augmentation methods to acheive good curve fit. This was finally achieved by only using intel cpu laptop without GPUs that took 26 mins of epochs processing time. Python Keras library was used for this project.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Error
Looks like something went wrong!

About

Managed to design and train (curve fit) custom CNN model with less than 7K animal images for 6 animal classifications without using data augmentation methods to acheive good curve fit. This was finally achieved by only using intel cpu laptop without GPUs that took 26 mins of epochs processing time. Python Keras library was used for this project.

Readme