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Implementation of Manifold Mixup from "Manifold Mixup: Better Representations by Interpolating Hidden States" - https://arxiv.org/abs/1806.05236

Manifold Mixup is a regularization technique that improves latent representation in deep learning. This implementation is made with TensorFlow 2 and Keras.

References:

Verma, Vikas, et al. "Manifold mixup: Better representations by interpolating hidden states." International Conference on Machine Learning. 2019.

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