欢迎来到某某水务平台有限公司!

联系电话:020-88888888

新闻中心

News
您的位置: 主页 > 新闻中心 > 行业动态

tf.keras.optimizers.Adam函数

发布日期:2024-04-15 12:53浏览次数:82

boston_housing module: Boston housing price regression dataset. cifar10 module: CIFAR10 small images classification dataset. cifar100 module: CIFAR100 small images classification dataset. fashion_mnist module: Fashion-MNIST dataset. imdb module: IMDB sentiment classification dataset. mnist module: MNIST handwritten digits dataset. reuters module: Reuters topic classification dataset. import tensorflow as tf from tensorflow import keras fashion_mnist=keras.datasets.fashion_mnist (x_train, y_train), (x_test, y_test)=fashion_mnist.load_data() mnist=keras.datasets.mnist (x_train, y_train), (x_test, y_test)=mnist.load_data() cifar100=keras.datasets.cifar100 (x_train, y_train), (x_test, y_test)=cifar100.load_data() cifar10=keras.datasets.cifar10 (x_train, y_train), (x_test, y_test)=cifar10.load_data() imdb=keras.datasets.imdb (x_train, y_train), (x_test, y_test)=imdb.load_data() # word_index is a dictionary mapping words to an integer index word_index=imdb.get_word_index() # We reverse it, mapping integer indices to words reverse_word_index=dict([(value, key) for (key, value) in word_index.items()]) # We decode the review; note that our indices were offset by 3 # because 0, 1 and 2 are reserved indices for "padding", "start of sequence", and "unknown". decoded_review=' '.join([reverse_word_index.get(i - 3, '?') for i in x_train[0]]) print(decoded_review) boston_housing=keras.datasets.boston_housing (x_train, y_train), (x_test, y_test)=boston_housing.load_data() reuters=keras.datasets.reuters (x_train, y_train), (x_test, y_test)=reuters.load_data() tf.keras.datasets.reuters.get_word_index( path='reuters_word_index.json' )

友情链接: 雷火电竞 IM电竞 沙巴体育 FH至尊 瓦利棋牌
Copyright © 2002-2022 沙巴体育供水调度系统分配站 版权所有 

平台注册入口