Skip to content

DatabasePlaymaker/Classification-of-Rock-Paper-Scissors-Images-with-Convolutional-Neural-Network-CNN-using-TensorFlow

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Classification-of-Rock-Paper-Scissors-Images-with-Convolutional-Neural-Network-CNN-using-TensorFlow

Final Project to fulfill the Machine Learning for Beginners competency certification

  • The dataset used must be the following dataset: rockpaperscissors, or use this link in the wget command: https://github.com/dicodingacademy/assets/releases/download/release/rockpaperscissors.zip.
  • The dataset must be divided into train set and validation set.
  • The size of the validation set must be 40% of the total dataset (training data has 1314 samples, and validation data has 874 samples).
  • Must implement image augmentation.
  • Using an image data generator.
  • The model must use a sequential model.
  • The training model does not exceed 30 minutes.
  • The program was carried out at Google Colaboratory.
  • The accuracy of the model is at least 85%.
  • Can predict images uploaded to Colab

Releases

No releases published

Packages

No packages published