In the middle of the desert you can say anything you want
This is actually really nice as idea, and as usual someone on the internet thought about this more than I did: Making Semantic Highlighting Useful - Brian Will - Medium
I somehow really like the idea of having color giving me actual semantic information about the thing I’m reading, and there are a lot of potentially cool stuffs that can be done, such as datatypes etc. It’s very connected to my old idea of creating a writing system that uses color to better and more concisely mark different letters, like the apparently defunct Dotsies but even more interesting.
This is interesting: zsh-users/zsh-autosuggestions: Fish-like autosuggestions for zsh
Less noisy autocomplete than the default, should look similar to this:
As a side note I like the cat explanation.txt
part for screenshots.
integer arithmetic - How can I add numbers in a bash script - Stack Overflow
num=$((num1 + num2))
num=$(($num1 + $num2))
.. which is what I used in the updated create.sh
script.
FILE=_posts/$(date +%Y-%m-%d)-day$((365+$(date +%j))).markdown
tf.convert_to_tensor()
convert stuff to other types (int64->float32) and I have to use tf.cast()
afterwards?tf.in_train_phase()
– both x and y have to be the same shapecompute_mask()
can return a single None
even if there are multiple output layers!Erfahrungsmäßig
The Ctrl key in Germany is “Strg”, pronounced “Steuerung”
refuse - Dictionary Definition : Vocabulary.com Refuse as a verb is re-FYOOZ, as a noun it’s REF-yoss.
Makes everything slower by about 2-4 times.
_keras_history
AttributeError: 'tensorflow.python.framework.ops.EagerTensor' object has no attribute '_keras_history
disappears if we dont’t use eager execution inside the metric, fine if we use it inside the model. That is tf.config.experimental_run_functions_eagerly(False)
inside metrics.py solves this, but model.run_eagerly=True
is fine.
https://github.com/tensorflow/addons/pull/377 re output_masks and it being blocked
tensorflow - What is the difference between tf.keras and tf.python.keras? - Stack Overflow
_
does the magic. Can be used in expressions too.
self.xxx
Some kind of ML language switcher that trains on my input – I write something in L1, delete, write same keystrokes on L2 => training instance. Also based on window class and time maybe?
“Could not find valid device for node.” while eagerly executing. - means wrong input type.
Mixing keras and tf.keras is bad karma; only the same one should be used and it should be tf.keras.
AttributeError:’Tensor’ object has no attribute ‘_keras_history’ – inneka.com
Everything should be done by:
When you are using tf operation – you are getting tf tensor object which doesn’t have history field. When you use keras functions you will get keras.tensors.