From fd9c68ceefcb4989ac4b7703180101cce9274d1f Mon Sep 17 00:00:00 2001 From: camperbot Date: Mon, 17 Jan 2022 01:00:34 +0530 Subject: [PATCH] chore(i18n,learn): processed translations (#44797) --- ...atural-language-processing-with-rnns-sentimental-analysis.md | 2 +- ...atural-language-processing-with-rnns-sentimental-analysis.md | 2 +- ...atural-language-processing-with-rnns-sentimental-analysis.md | 2 +- ...atural-language-processing-with-rnns-sentimental-analysis.md | 2 +- ...atural-language-processing-with-rnns-sentimental-analysis.md | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/curriculum/challenges/chinese-traditional/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md b/curriculum/challenges/chinese-traditional/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md index 2a9b37cb3b..a590ec30e6 100644 --- a/curriculum/challenges/chinese-traditional/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md +++ b/curriculum/challenges/chinese-traditional/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md @@ -20,7 +20,7 @@ dashedName: natural-language-processing-with-rnns-sentiment-analysis model = __A__.keras.Sequential([ __A__.keras.layers.__B__(88584, 32), __A__.keras.layers.__C__(32), - __A__.keras.layers.DENSE(1, activation='sigmoid') + __A__.keras.layers.Dense(1, activation='sigmoid') ]) ``` diff --git a/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md b/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md index 95ab105376..4ae5c46986 100644 --- a/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md +++ b/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md @@ -20,7 +20,7 @@ dashedName: natural-language-processing-with-rnns-sentiment-analysis model = __A__.keras.Sequential([ __A__.keras.layers.__B__(88584, 32), __A__.keras.layers.__C__(32), - __A__.keras.layers.DENSE(1, activation='sigmoid') + __A__.keras.layers.Dense(1, activation='sigmoid') ]) ``` diff --git a/curriculum/challenges/italian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md b/curriculum/challenges/italian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md index a03374ece7..e6d4bb2a47 100644 --- a/curriculum/challenges/italian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md +++ b/curriculum/challenges/italian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md @@ -20,7 +20,7 @@ Compila gli spazi vuoti qui sotto per creare il modello per la RNN: model = __A__.keras.Sequential([ __A__.keras.layers.__B__(88584, 32), __A__.keras.layers.__C__(32), - __A__.keras.layers.DENSE(1, activation='sigmoid') + __A__.keras.layers.Dense(1, activation='sigmoid') ]) ``` diff --git a/curriculum/challenges/portuguese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md b/curriculum/challenges/portuguese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md index d3923fd8cd..4ffa64a2c0 100644 --- a/curriculum/challenges/portuguese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md +++ b/curriculum/challenges/portuguese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md @@ -20,7 +20,7 @@ Preencha as lacunas abaixo para criar o modelo para a RNN: model = __A__.keras.Sequential([ __A__.keras.layers.__B__(88584, 32), __A__.keras.layers.__C__(32), - __A__.keras.layers.DENSE(1, activation='sigmoid') + __A__.keras.layers.Dense(1, activation='sigmoid') ]) ``` diff --git a/curriculum/challenges/ukrainian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md b/curriculum/challenges/ukrainian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md index 4b720d5434..3f59f8d636 100644 --- a/curriculum/challenges/ukrainian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md +++ b/curriculum/challenges/ukrainian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md @@ -20,7 +20,7 @@ dashedName: natural-language-processing-with-rnns-sentiment-analysis model = __A__.keras.Sequential([ __A__.keras.layers.__B__(88584, 32), __A__.keras.layers.__C__(32), - __A__.keras.layers.DENSE(1, activation='sigmoid') + __A__.keras.layers.Dense(1, activation='sigmoid') ]) ```