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In the middle of the desert you can say anything you want

19 Nov 2019

Day 323

Tensorflow gradient propagation

When you do annotation_pred = tf.to_float(tf.argmax(out, dimension=4, name='prediction')), you get an index of the max value in your tensor. This index can’t be derivated, thus the gradient can’t flow throught this operation.

So as your loss is only defined by this value, and the gradient can’t flow throught it, no gradient can be calculated for your network.

Argmax is okay if I don’t calculate my loss through it.

Python / Numpy ellipsis (…)

The ellipsis (three dots) indicates “as many ‘:’ as needed” This makes it easy to manipulate only one dimension of an array, letting numpy do array-wise operations over the “unwanted” dimensions. You can only really have one ellipsis in any given indexing expression, or else the expression would be ambiguous about how many ‘:’ should be put in each.

English vocabulary

  • glib - superficial, shallow, persuasive but insincere in nature.
  • retrodict - Wiktionary - to attempt to estimate the previous state from the present.

German RE / AW

Outlook. What is the meaning of “AW” in an email header? – AW == RE in most other languages

Nel mezzo del deserto posso dire tutto quello che voglio.
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