Lybron Sobers Lybron
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| import Foundation | |
| extension Date { | |
| func toString(format: String = "yyyy-MM-dd") -> String { | |
| let formatter = DateFormatter() | |
| formatter.dateStyle = .short | |
| formatter.dateFormat = format | |
| return formatter.string(from: self) | |
| } |
fchollet
/ classifier_from_little_data_script_1.py
Last active
February 18, 2026 04:59
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 |