mohamedamine99/Keras-CNN-cats-vs-dogs-image-classification
This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.
This project helps developers learn the fundamentals of image classification using deep learning. It takes a collection of images and sorts them into 'cat' or 'dog' categories, demonstrating how Convolutional Neural Networks (CNNs) work. This is ideal for a developer or student who is new to deep learning and wants to understand how to build and train a basic image classifier.
No commits in the last 6 months.
Use this if you are a developer looking for a straightforward example to learn about image classification with Keras and CNNs.
Not ideal if you need a ready-to-use solution for classifying images in a real-world application or for complex classification tasks beyond cats and dogs.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 16, 2023
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