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Unity
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Feb 10, 2020 - Python
How do I find these tools in the 2.8 interface? If you've updated to 2.8, why haven't the instructions been updated to match?
Git Merge 2020
March 04, 2020 • Los Angeles
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Feb 10, 2020 - Shell
There should be a README file for each type of design pattern which should include the following points-
- Description of the design pattern
- Common use cases of that design pattern
- Explanation of the code
LeanBoard
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Multiple CLI environments can be created with cortex configure -e <environment_name>. Adding cortex commands to list the available environments and delete them would help with CLI environment management.
Also, cortex cluster down should automatically remove the CLI environment upon successful completion.
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Feb 10, 2020 - Python
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Feb 10, 2020 - C
Is your feature request related to a problem? Please describe.
In the current api documentation classes from external libraries are displayed with their full package name. This leaves the user to search for the documentation for the external library themselves for which they must also find the correct version number.
Describe the solution you'd like
It would be nice to have the extern
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Feb 10, 2020 - C++
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Feb 10, 2020 - Python
Describe the bug:
The order of the settings and the names of the settings are different between the beatmap details listed in song select and the settings panel for Difficulty Adjust. This can cause some confusion when looking between the settings and the beatmap details.
Screenshots or videos showing encountered issue:
Details in song select:

- correcting the link (sometimes things move)
- replacing the link (make sure the link is authorized, or the resource is open-licensed). Of
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Feb 10, 2020 - Kotlin
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Review Notebook App
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Hi Everybody:
I am using Keras 2.0.5.
Here are code samples for section 6.3 of book,
"Advanced use of recurrent neural network" pertaining to GRU:
`from keras.models import Sequential
from keras import layers
from keras.optimizers import RMSprop
model = Sequential()
model.add(layers.GRU(32, input_shape=(None, float_data.shape[-1])))
model.add(layers.Dense(1))
model.compile(optim