项目描述 ：
Trained an image classifier to identify a total of 102 flower species. Data Augmentation was used to bring variety in the dataset. I also made a command-line interface for training and testing our model with various parameters using the ArgumentParser library in Python. Transfer Learning with VGG16 and Densenet121 was used to train our neural network using PyTorch.

高级语言： Jupyter Notebook

项目主页：

项目地址: git://github.com/sankalpjain99/Flower-Species-Classifier.git

创建时间： 2020-05-11T14:37:49Z
项目社区：https://github.com/sankalpjain99/Flower-Species-Classifier
开源协议：
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