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목록Python/RNN (4)
개발잡부
[tf] 유사성 측정
import tensorflow as tf import tensorflow_text as text hypotheses = tf.ragged.constant([['captain', 'of', 'the', 'delta', 'flight'], ['the', '1990', 'transcript']]) references = tf.ragged.constant([['delta', 'air', 'lines', 'flight'], ['this', 'concludes', 'the', 'transcript']]) result = text.metrics.rouge_l(hypotheses, references) print('F-Measure: %s' % result.f_measure) print('P-Measure: %s' ..
[tf] RNN을 사용한 텍스트 분류
VOCAB_SIZE = 1000 encoder = tf.keras.layers.TextVectorization( max_tokens=VOCAB_SIZE) encoder.adapt(train_dataset.map(lambda text, label: text)) import numpy as np import tensorflow_datasets as tfds import tensorflow as tf tfds.disable_progress_bar() import matplotlib.pyplot as plt def plot_graphs(history, metric): plt.plot(history.history[metric]) plt.plot(history.history['val_'+metric], '') p..
[tf] rnn project
conda 환경을 새로 만들고 싶지만 시간이 아까워서 900gle 의 환경을 사용. conda activate 900gle python -m pip install --upgrade pip Study.py import numpy as np import tensorflow_datasets as tfds import tensorflow as tf tfds.disable_progress_bar() "This version of TensorFlow Datasets requires TensorFlow " ImportError: This version of TensorFlow Datasets requires TensorFlow version >= 2.1.0; Detected an installation of vers..
conda create --name "tesla" python="3.7" - python=3.7 The following NEW packages will be INSTALLED: ca-certificates pkgs/main/osx-64::ca-certificates-2021.10.26-hecd8cb5_2 certifi pkgs/main/osx-64::certifi-2021.10.8-py37hecd8cb5_0 libcxx pkgs/main/osx-64::libcxx-12.0.0-h2f01273_0 libffi pkgs/main/osx-64::libffi-3.3-hb1e8313_2 ncurses pkgs/main/osx-64::ncurses-6.3-hca72f7f_2 openssl pkgs/main/osx..