/flowers102-recognition

Primary LanguageJupyter NotebookMIT LicenseMIT

flowers102-recognition

Tools, and Libraries used

  • Python

  • Google Colab GPU

  • Deep Learning

  • Convolutional Neural Network

  • Transfer Learning

  • Data Augmentation

  • EfficientNets (state-of-the-art)

  • Libraries

  • numpy, pandas, matplotlib, keras, etc.

  • #1589F0 validation loss

  • #f03c15 training loss loss

  • #1589F0 validation accuracy

  • #f03c15 training accuracy acc

  • combined graph