classifier.add中的TypeError:('Keyword参数不被理解:'，'init') [英] TypeError: ('Keyword argument not understood:', 'init') in classifier.add

问题描述

我在输入层中遇到以下错误.我确实有4的输入数据和1的输出.另外，我有一个列字符串.数据来自CSV文件.任何帮助表示赞赏

I am just having the following error in the input layer. I do have input data of 4 and the output of one. Additionally, I have one column string. The data is from a CSV file. Any help appreciated

classifier.add(Dense(1, init = 'uniform', activation = 'relu', input_shape = (4,)))

TypeError: ('Keyword argument not understood:', 'init')

推荐答案

Keras 1.2不支持单独的内核/偏差初始化程序，各层仅采用单个init参数，例如Dense(10，init ="normal"，激活＝"relu").将其更改为Dense(10，activation ="relu")

Keras 1.2 doesn't support separate kernel/bias initializers, layers only take a single init parameter, eg, Dense(10, init="normal", activation="relu"). change it to Dense(10, activation="relu")

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