Install, build and debug a react native app in WSL2 (Windows Subsystem for Linux) and Ubuntu.
Charles Verdad charlesverdad
fchollet
/ classifier_from_little_data_script_1.py
Last active
May 15, 2024 07:19
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 |
naotokui
/ conv_autoencoder_keras.ipynb
Created
January 10, 2017 04:17
Convolutional Autoencoder in Keras
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bergmannjg
/ rearct-native-app-in-wsl2.md
Last active
July 1, 2024 17:54
Building a react native app in WSL2