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Keras with Tensorflow Backend
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Followed this: https://www.pyimagesearch.com/2016/11/14/installing-keras-with-tensorflow-backend/ | |
(lo hice para Python2.7) | |
1.Create a virtualEnv and open it | |
2. Once is inside, in the console, write this command: export TF_BINARY_URL= (look in Tensorflow WEB the URL: https://www.tensorflow.org/install/pip y buscar sección "Package Location" y "macOS (CPU-only)" ) | |
I used for my MAC: "export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py2-none-any.whl | |
3. pip install --upgrade $TF_BINARY_URL | |
4. Sprueba si esta bien instalado TF: | |
python | |
>>> import tensorflow | |
5. Se instala dependencias de Keras: | |
$ pip install numpy scipy | |
$ pip install scikit-learn matplotlib | |
$ pip install pillow | |
$ pip install h5py (este sirve para Save Models) | |
6. pip install keras | |
7. 4. Se prueba si esta bien instalado KERAS: | |
python | |
>>> import keras | |
8. se entra al packageJSON para confirma que el Backend de Keras es Tensorflow, y no otro: | |
vim ~/.keras/keras.json | |
9. Instala herramientas IDE: | |
pip install ipython | |
pip install jupyter | |
10. Cuando actives el virtualEnv, no olvidar de entrar a la carpeta especifica ("cd ...") q acabas de crear para utilizar el environment ML q haz instalado |
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