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Most neural network libraries, including PyTorch, scikit and Keras, have built-in MNIST datasets. However, working with pre-built MNIST datasets has two big problems.
A code example for the MNIST dataset can be written in 20 lines: from tensorflow.keras import layers # Embedding output layer with L2 norm from tensorflow_similarity.layers import MetricEmbedding ...
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