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In image segmentation, if one image has N pixpels, the number of labels is also N(not one), so the Softmax operator in mxnet can't handle it(just my opinion);
I want solve it through:
1. add a new…
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In Pro. Zeiler's paper < Visualizing and Understanding Convolutional Networks >.
http://www.matthewzeiler.com/pubs/arxive2013/arxive2013.pdf
Operation: Switch_pool() and Switch_upppool() are needed …
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Assume we are trying to learn a sequence to sequence map. For this we can use Recurrent and TimeDistributedDense layers. Now assume that the sequences have different lengths. We should pad both input …
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It has come up a couple of times as I have introduced people (cc @bmcfee, @moscow25, and issue #128) to Lasagne that someone is trying to use some code which uses, for example, `Conv2DDNNLayer` on a m…
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I am programming an adversarial convolutional autoencoder and getting all sort of errors for the 2nd dimension of parameters when in theory there should be any 2nd dimension in Conv1d & ConvTranspose1…
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I am trying to use the "net.predict(...)" code in the "_How To_"-docs to predict output of my "test_images" vector. However I can not get it to work by passing my whole "**vector> test_images**" vecto…
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Here are a few things I think would be valuable to add to Keras in the near future.
These are mere suggestions. You are welcome to discuss them, contest them, add your own ideas... I would like the d…
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Hello Everyone,
I'm new to Deep Learning and TensorFlow. From studying tutorials / research papers / online lectures it appears that people always have the execution order: ReLU -> Pooling. But in ca…
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**Intro**
I am using a modified version of the Tensorflow tutorial "Deep MNIST for experts" with the Python API for a medical images classification project using convolutionnal networks.
I want to a…
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[**TL;DR:** We're designing a new input pipeline API for TensorFlow, and we'd like to collect your feature requests on this issue.]
We've noticed that one of the biggest challenges in getting start…