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A Python library for deep learning developed by Google. Use this tag for any on-topic question that (a) involves tensorflow either as a critical part of the question or expected answer, & (b) is not just about how to use tensorflow.

19 votes

How is Spatial Dropout in 2D implemented?

Here's a function that implements it in Tensorflow, based on tf.nn.dropout. …
nlml's user avatar
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4 votes

Struggling to make a neural network mimic a basic if statement

Still, if you make your weights initialisation more sensible (should be centred at zero) and standardise your inputs, then you can get this to work: import tensorflow as tf import numpy as np sess = tf.InteractiveSession …
nlml's user avatar
  • 982
3 votes
Accepted

Why would the sampled softmax work? [word2vec]

I'm not fully across this implementation, but I think I understand what you're asking. If we randomly skip words in the context window, we're still going to see all of them, on average. We loop thro …
nlml's user avatar
  • 982
31 votes
Accepted

Loss function for autoencoders

I think the best answer to this is that the cross-entropy loss function is just not well-suited to this particular task. In taking this approach, you are essentially saying the true MNIST data is bin …
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2 votes

Image classification, narrow domain with custom labels

Plus it's fairly easy to add to an existing model, and the authors have provided a Tensorflow implementation. It sounds like you might not have too much experience with deep learning. …
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