secsilm/understaing-datasets-estimators-tfrecords
Try to use tf.estimator and tf.data together to train a cnn model.
This project helps machine learning practitioners build and train image classification models using TensorFlow. It takes image data in the TFRecords format, processes it through a convolutional neural network (CNN), and outputs a trained model capable of classifying images. This is for data scientists or machine learning engineers who need to quickly prototype or deploy image classification solutions.
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Use this if you are a machine learning practitioner working with image classification tasks and want to leverage TensorFlow's high-level Estimator and Dataset APIs for efficient model development and data handling.
Not ideal if you are looking for a complete, production-ready solution with state-of-the-art accuracy, as this project prioritizes demonstrating API usage over achieving top performance.
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Jun 10, 2018
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