Metadata-Version: 2.0
Name: quickcnn
Version: 0.0.12
Summary: ConvNet architectures on Google-Colaboratory
Home-page: https://github.com/CG1507/quickcnn
Author: Ghanshyam Chodavadiya
Author-email: g8ghanshym@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

Main idea of QuickCNN is to train deep ConvNet without diving into architectural details. QuickCNN works as an interactive tool for transfer learning, finetuning, and scratch training with custom datasets. It has pretrained model zoo and also works with your custom keras model architecture.


