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Coding Everyday
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View hello_world.rs
#[no_mangle]
pub extern fn hello_world() {
println!("Hello World, I am Rust!");
}
View classifier_from_little_data_script_2.py
'''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
@atomiyama
atomiyama / classifier_from_little_data_script_3.py
Created Jun 6, 2017 — forked from fchollet/classifier_from_little_data_script_3.py
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
View classifier_from_little_data_script_3.py
'''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
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