thomelane commented on a change in pull request #15343: Revise Symbol tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15343#discussion_r297297313
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File path: docs/tutorials/basic/symbol.md
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@@ -125,17 +89,14 @@ net = mx.sym.FullyConnected(data=net, name='fc1',
num_hidden=128)
net = mx.sym.Activation(data=net, name='relu1', act_type="relu")
net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10)
net = mx.sym.SoftmaxOutput(data=net, name='out')
-mx.viz.plot_network(net, shape={'data':(100,200)},
node_attrs={"shape":"oval","fixedsize":"false"})
+mx.viz.plot_network(net,
+ shape={'data':(100, 200)},
+ node_attrs={"shape": "oval", "fixedsize": "false"})
```
-Each symbol takes a (unique) string name. NDArray and Symbol both represent
-a single tensor. *Operators* represent the computation between tensors.
-Operators take symbol (or NDArray) as inputs and might also additionally accept
-other hyperparameters such as the number of hidden neurons (*num_hidden*) or
the
-activation type (*act_type*) and produce the output.
+Each symbol takes a unique string name. `NDArray` and `Symbol` both represent
a single tensor. *Operators* represent the computation between tensors.
Operators take `symbol` or `NDArray` as inputs and might also additionally
accept other hyperparameters such as the number of hidden neurons
(`num_hidden`) or the activation type (`act_type`) and produce the output.
Review comment:
`symbol` -> `Symbol`. Change other cases (but not non-code versions).
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