Rock Paper Scissors Classifier

• Concepts used:
  • Data Augmentation
  • Regularization using Dropouts ( to make network more efficient and prevent overfitting)
• Tech Stack:
• Python, TensorFlow and Keras
• GitHub: Project Link

Custom model is trained on the CGI Generated Images of Rock, Paper and Scissors to classify them by uploading images. Our model was able to gave the validation accuracy of 88%.