Anaconda & Tensorflow & Skflow：dnn() 得到了一个意外的关键字参数“keep_prob”答案

【问题标题】：Anaconda & Tensorflow & Skflow: dnn() got an unexpected keyword argument 'keep_prob'Anaconda & Tensorflow & Skflow：dnn() 得到了一个意外的关键字参数“keep_prob”
【发布时间】：2016-06-30 10:07:07
【问题描述】：

在 Anaconda 2.7 中运行此示例时：

import tensorflow.contrib.learn as skflow
def DNN_model(X, y):
    """This is DNN with 50, 20, 10 hidden layers, and dropout of 0.5 probability."""
    layers = skflow.ops.dnn(X, [50, 30, 10], keep_prob=0.5)
    return skflow.models.logistic_regression(layers, y)
clf = skflow.TensorFlowEstimator(model_fn=DNN_model, n_classes=3)

它转储了以下问题：

dnn() 得到了一个意外的关键字参数 'keep_prob'

Anaconda 中的 Tensorflow 是使用以下工具安装的：

conda install -c jjhelmus tensorflow=0.9.0

知道失败的原因吗？

【问题讨论】：

标签： python tensorflow anaconda

【解决方案1】：

根据repository 看来这个版本已经贬值了：

learn.ops.dnn is deprecated,please use contrib.layers.dnn.

但是，应该传递不同的参数：

def dnn(tensor_in, hidden_units, activation=nn.relu, dropout=None):
  """Creates fully connected deep neural network subgraph.
  This is deprecated. Please use contrib.layers.dnn instead.
  Args:
    tensor_in: tensor or placeholder for input features.
    hidden_units: list of counts of hidden units in each layer.
    activation: activation function between layers. Can be None.
    dropout: if not None, will add a dropout layer with given probability.
  Returns:
    A tensor which would be a deep neural network.
  """

【讨论】：