We will explore the use of autoencoders for automatic feature engineering. The idea is to automatically learn a set of features from, potentially noisy, raw data that can be useful in supervised learning tasks such as in computer vision and insurance using synthetic financial transactions data.
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Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
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leiYan1225/autoencoders_keras
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Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
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