https://github.com/mpolinowski/tf-cats-n-dogs

Tensorflow binary image classifier based on ResNet50
https://github.com/mpolinowski/tf-cats-n-dogs

cats-vs-dogs image-classifier resnet-50 tensorflow2

Last synced: about 2 months ago
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Tensorflow binary image classifier based on ResNet50

• Host: GitHub
• URL: https://github.com/mpolinowski/tf-cats-n-dogs
• Owner: mpolinowski
• Created: 2022-12-19T04:57:09.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-12-20T03:59:13.000Z (over 2 years ago)
• Last Synced: 2025-01-28T19:17:28.955Z (4 months ago)
• Topics: cats-vs-dogs, image-classifier, resnet-50, tensorflow2
• Language: Python
• Homepage: https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/ML/2022-12-18-tf-transfer-learning/2022-12-18
• Size: 146 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Tensorflow 2 

## Transfer Learning

Make use of __Transfer Learning__ to copy&paste general feature detections from pre-trained models ([ResNet50](https://www.kaggle.com/datasets/keras/resnet50)) into your own projects.

The dataset used is [Cats and Dogs](https://www.kaggle.com/datasets/tongpython/cat-and-dog) from `kaggle.com`. And it will help us to train a set of dense layers on top of the ResNet50 basic feature detection layers to distinguish between photos of cats and dogs:

![Tensorflow Transfer Learning](./Tensorflow_Transfer_Learning_03.png)

We are `99.999952%` sure that this is a cat :thumbsup: