deep-diver/CIFAR10-img-classification-tensorflow
image classification with CIFAR10 dataset w/ Tensorflow
This project helps machine learning practitioners learn how to build and train a convolutional neural network for image classification. It takes a collection of small color images (like those in the CIFAR-10 dataset, depicting objects such as airplanes, cats, and dogs) and outputs a trained model capable of identifying the primary object in new images. It's designed for someone learning deep learning for computer vision tasks.
142 stars. No commits in the last 6 months.
Use this if you are a student or researcher new to deep learning and want a hands-on guide to implementing image classification from scratch using TensorFlow, especially with the CIFAR-10 dataset.
Not ideal if you are looking for a plug-and-play solution for immediate image classification or need to classify images from a different dataset without wanting to understand the underlying model architecture and training process.
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Nov 19, 2022
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