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traanhn traanhn

  • Helsinki, Finland
  • 08:15 (UTC -12:00)
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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
'''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
@traanhn
traanhn / MacOS_Install_OpenCV.py
Created January 15, 2018 16:51 — forked from vishwanath79/MacOS_Install_OpenCV.py
Install OpenCV on Mac OS Sierra on Python 3.5
# 1. Download and install the latest Anaconda distribution from https://www.continuum.io/downloads#macos
# 2. Create a new Python environment. Make sure you choose python 3.5 as your python version for the virtual environment:
conda create -n myenv python=3.5
# 3. Activate the new environment using:
source activate myenv