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Uki D. Lucas
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Uki D.'s posts

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kernels
Removing old/unused Jupyter notebook kernels $ cd ~/Library/Jupyter/kernels  $ rm -r tensorflow_gpu/

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Alexa
Install Flask Ask for Alexa $ pip install flask-ask Start your favorite Python dev editor $ jupyter notebook

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yml
Installing my TensorFlow 1.0 conda environment with yml definition file $ conda env create --file /Users/ukilucas/dev/uki.guru/conda_enviroment.yml 

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TensorFlow
TensorFlow 1.0 is here: Mac installation: https://www.tensorflow.org/install/install_mac

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CUDA
Nvidia CUDA just released an update to their Mac OS X driver.

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Jupyter python user input forms
REFERENCE: Building Interactive Dashboards with Jupyter

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NVidia
I was playing with dual monitors on my NVidia GTX 1050Ti card and at some point, the UI stopped to allow me to log in. It was going in the loop after each (correct) login. Steps to fix it: Press  Ctrl + Alt + F1 or F2, F3 Log into in Command Line Remove NVi...

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PIL
The example, I have used today: import PIL import numpy from PIL import Image def resize_image ( numpy_array_image , new_height ): # convert nympy array image to PIL.Image image = Image . fromarray ( numpy . uint8 ( numpy_array_image )) old_width = float ( ...

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keras
(tensorflow_cpu) $ anaconda search -t conda keras | grep forge      conda-forge/keras         |    1.0.7 | conda           | linux-64, win-32, win-64, osx-64 (tensorflow_cpu) $ conda install -c conda-forge keras=1.0.7

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conda_clone
You can clone (duplicate, copy) environments, this is useful when you are experimenting with packages whereas everything else is working fine: - Existing tensorflow_gpu - Newly created tensorflow_cpu $ conda create --name tensorflow_cpu --clone tensorflow_g...
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