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Hot answers tagged tensorflow

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CNN architectures for regression?

First of all a general suggestion: do a literature search before you start making experiments on a topic you're not familiar with. You'll save yourself a lot of time. In this case, looking at ...
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Epoch Vs Iteration in CNN training

One iteration means one batch processed. One epoch means all data processed one times. So one epoch is counted when ...
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Deep learning : How do I know which variables are important?

What you describe is indeed one standard way of quantifying the importance of neural-net inputs. Note that in order for this to work, however, the input variables must be normalized in some way. ...

How is Spatial Dropout in 2D implemented?

This response is a bit late, but I needed to address this myself and thought it might help. Looking at the paper, it seems that in Spatial Dropout, we randomly set entire feature maps (also known as ...
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Is it possible to give variable sized images as input to a convolutional neural network?

The convolutional layers and pooling layers themselves are independent of the input dimensions. However, the output of the convolutional layers will have different spatial sizes for differently sized ...
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How does Tensorflow tf.train.Optimizer compute gradients?

It's not numerical differentiation, it's automatic differentiation. This is one of the main reasons for tensorflow's existence: by specifying operations in a tensorflow graph (with operations on ...
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How to use pre trained word2vec model?

In Python, you can use Gensim ...
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how to weight KLD loss vs reconstruction loss in variational auto-encoder

I would like to add one more paper relating to this issue (I cannot comment due to my low reputation at the moment). In subsection 3.1 of the paper, the authors specified that they failed to train a ...
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Can I enforce monotonically increasing neural net outputs (min, mean, max)?

Two techniques: penalty and variable transformation. penalty build one model with these three outputs, then modify/customize the loss function during its estimation by adding the penalty for violation ...
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