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Awesome GitHub RepositoriesCNN Classifications
Applying convolutional neural networks to classify images, retrain architectures, and generate artistic effects.
Distinct from Image Recognition Systems: Distinct from Image Recognition Systems: specifically uses CNNs for classification and retraining, not general image recognition.
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Awesome CNN Classifications GitHub Repositories
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- nfmcclure/tensorflow_cookbook
nfmcclure/tensorflow_cookbook
6,239Ver en GitHubThe TensorFlow Cookbook is a collection of code examples and recipes for building, training, and deploying machine learning models using TensorFlow. It covers the full model lifecycle, from constructing neural networks and training them with configurable parameters to packaging trained models for production deployment with unit tests and multi-device support. The project also integrates TensorBoard for logging and visualizing computational graphs, scalar summaries, and histograms during training. The cookbook demonstrates a wide range of machine learning techniques, including convolutional ne
Applies convolutional neural networks to classify images, retrain architectures, and generate artistic effects.
Jupyter Notebookclassificationcnngenetic-algorithm
