https://github.com/mostafanabieh/image-classification-with-data-augmentation

Project for Data augmentation with tensorflow v2
https://github.com/mostafanabieh/image-classification-with-data-augmentation

data deep-learning image-classification machine-learning tensorflow tensorflow2

Last synced: about 2 months ago
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Project for Data augmentation with tensorflow v2

• Host: GitHub
• URL: https://github.com/mostafanabieh/image-classification-with-data-augmentation
• Owner: MostafaNabieh
• Created: 2020-03-21T16:55:24.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-03-21T16:58:40.000Z (over 6 years ago)
• Last Synced: 2025-01-25T16:15:04.110Z (over 1 year ago)
• Topics: data, deep-learning, image-classification, machine-learning, tensorflow, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 2.92 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Image-classification-with-Data-augmentation

classify cats or dogs from images. It builds an image classifier using a tf.keras.Sequential model and load data using tf.keras.preprocessing.image.ImageDataGenerator

Building data input pipelines using the tf.keras.preprocessing.image.ImageDataGenerator class to efficiently work with data on disk to use with the model.

Overfitting —How to identify and prevent it.

Data augmentation and dropout —Key techniques to fight overfitting in computer vision tasks to incorporate into the data pipeline and image classifier model.

![Data](https://www.kdnuggets.com/wp-content/uploads/cats-data-augmentation.jpg)