Fix doc of accuracy function #7091
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typhoonzero
reviewed
Dec 28, 2017
| label = fluid.layers.data(name="label", shape=[batch_size, 1], | ||
| dtype="int64") | ||
| prediction = fluid.layers.fc(input=layer_1, size=20, act="softmax") | ||
| acc = fluid.layers.accuracy(input=prediction, label=label, k=3) |
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Need examples on how to accumulate accuracy across batches.
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| Args: | ||
| input (Variable): The input variable which is a Tensor | ||
| with dims.size > 1. Usually, it is the output |
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Need to explain the shape of this input, like: batch_size * topk.
| with dims.size > 1. Usually, it is the output | ||
| of softmax operator. | ||
| label (Variable): The label variable which is a Tensor. | ||
| The last dim of label tensor must be 1. |
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The last dim of label tensor must be 1.
Need more clear explain about the shape, same as below.
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fix #7090