(C-x means ctrl+x, M-x means alt+x)
The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:
rocking5566
/ keras_quant.py
Last active
December 8, 2020 09:40
Quantization aware training in keras
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| import numpy as np | |
| import tensorflow as tf | |
| from tensorflow.keras.datasets import mnist | |
| from tensorflow.keras.utils import to_categorical | |
| from tensorflow.keras.models import Sequential | |
| from tensorflow.keras.layers import Dense, Activation, Conv2D, Flatten | |
| from tensorflow.keras.optimizers import RMSprop | |
| # download the mnist to the path '~/.keras/datasets/' if it is the first time to be called | |
| # X shape (60,000 28x28), y shape (10,000, ) |
klynch
/ custom.json
Last active
March 15, 2022 02:24
A powerline configuration file that goes in `~/.config/powerline/themes/shell/custom.json`
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| { | |
| "segments": { | |
| "left": [ | |
| { | |
| "function": "powerline.segments.shell.mode" | |
| }, | |
| { | |
| "function": "powerline.segments.common.net.hostname", | |
| "priority": 10, | |
| "args": { |
fchollet
/ classifier_from_little_data_script_3.py
Last active
February 26, 2025 01:37
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
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| '''This script goes along the blog post | |
| "Building powerful image classification models using very little data" | |
| from blog.keras.io. | |
| It uses data that can be downloaded at: | |
| https://www.kaggle.com/c/dogs-vs-cats/data | |
| In our setup, we: | |
| - created a data/ folder | |
| - created train/ and validation/ subfolders inside data/ | |
| - created cats/ and dogs/ subfolders inside train/ and validation/ | |
| - put the cat pictures index 0-999 in data/train/cats |