Tensorflow tf.reshape() seems to behave differently to numpy.reshape()

[Maik Vogt]

I'm trying to train a LSTM network and it trains successfully in one way, but throws an error in the other way.

In the first example I reshape the input array X using numpy reshape and in the other way I reshape it using tensorflow reshape.

I posted the code on stackoverflow, but without any success yet.

Does the fit method of tensorflow.contrib.learn.TensorFlowEstimator transform the input vector X before it is 

passed to model_fn? 

http://stackoverflow.com/questions/39671253/tensorflow-tf-reshape-seems-to-behave-differently-to-numpy-reshape

[Martin Wicke]

TensorFlowEstimator is deprecated and will disappear, please use Estimator. Inputs are not transformed before they reach the model_fn.

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