TatevKaren/convolutional-neural-network-image_recognition_case_study
Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)
This project offers a comprehensive case study for developers looking to build image classification models. It demonstrates how to train a Convolutional Neural Network to distinguish between cat and dog images, taking image files as input and outputting a binary classification (cat or dog). It's ideal for those learning or implementing basic image recognition in their applications.
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Use this if you are a software developer or data scientist looking for a clear, documented example of setting up and training a CNN for binary image classification.
Not ideal if you are a non-technical user seeking a ready-to-use application to classify images without writing code.
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Python
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Apr 18, 2022
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