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texts_to_sequences 1

keras-Tokenizer

word_index Grand index to each words. print(tokenizer.word_index) >>> {'barber': 1, 'secret': 2, 'huge': 3, 'kept': 4, 'person': 5, 'word': 6, 'keeping': 7, 'good': 8, 'knew': 9, 'driving': 10, 'crazy': 11, 'went': 12, 'mountain': 13} word_counts Count the each words. print(tokenizer.word_counts) >>> OrderedDict([('barber', 8), ('person', 3), ('good', 1), ('huge', 5), ('knew', 1), ('secret', 6),..

Deep Learning/Tensorflow 2021.03.08
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classmethod, 3D Rotation Matrix, randn, Regular Expression, forward propagation, global variable, nvidia-smi, yield from, Filter, Sigmoid function, selectall, kafka, d3js, docker-compose, zeros, textdistance, axis, abstractmethod, randint, batch size,

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