ODSC London 2023 Half-Day Training
Dr. Yves J. Hilpisch
CEO The Python Quants | The AI Machine
Adjunct Professor of Computational Finance
Kevin Luk youonf
yhilpisch
/ 00_odsc_lon_2023.md
Last active
November 23, 2024 19:17
avsthiago
/ Data_augmentation_keras_opencv_brightness_hsv.py
Created
April 8, 2018 17:58
Data augmentation using Keras ImageDataGenerator and OpenCV. Also with brightness augmentation.
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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Thu Mar 29 09:57:55 2018 | |
| @author: avsthiago | |
| """ | |
| from keras.preprocessing.image import ImageDataGenerator | |
| import numpy as np |
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 |