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README.md

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@@ -245,7 +245,7 @@ Now we will visit a more complex example that combines several of the above oper
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more and more complexity to our network, the Torch code becomes more and more verbose.
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On the other hand, thanks to autograd, the complexity of our PyTorch code does not increase at all.
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<img src= "https://github.com/amdegroot/pytorch-containers/master/doc/complex_example.png" width="600px"/>
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<img src= "https://github.com/amdegroot/pytorch-containers/blob/master/doc/complex_example.png" width="600px"/>
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