TensorFlow 仅在提供的训练数据的 1/32 上运行 [英] TensorFlow Only running on 1/32 of the Training data provided

问题描述

我已经使用张量流实现了一个神经网络，它似乎只在 1/32 的数据点上运行.然后我试着按照简单的例子来看看是不是我:

I've implemented a neural network using tensor flow and it appears to be only running on 1/32 data points. I've then tried to following simple example to see if it was me:

https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/

即使使用相同(复制和粘贴)的代码，我仍然得到 1/32 的正在处理的训练数据，例如

Even when using identical (copied and pasted) code I still get 1/32 of the training data being processed e.g.

Epoch 3/3
1875/1875 [==============================] - 2s 961us/step - loss: 0.0733 - accuracy: 0.9773

而不是示例给出的以下内容:

instead of the following which the example gives:

Epoch 3/3
60000/60000 [==============================] - 5s 89us/step - loss: 0.0715 - acc: 0.9779

注意:在测试数据上调用 fit 时也会出现同样的问题

Note: The same issue also occurs whilst calling fit on the test data

这让我相信我在本地有一些全局配置是错误的.

This leaves me to believe I have some global configuration locally which is wrong.

有人知道这个配置是什么以及如何解决吗?

Does anyone know what this configuration is and how to solve it?

推荐答案

这是一个常见的误解，Keras 已经更新，现在在进度条中显示批次，而不是样本.这是完全一致的，因为您说提供的数据的 1/32，而 32 是 keras 中的默认批大小.

This is a common misconception, there have been updates to Keras and it now shows batches, not samples, in the progress bar. And this is perfectly consistent because you say 1/32 of the data provided, and 32 is the default batch size in keras.

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