Installing Keras on Raspberry Pi 3

keras-logo-small-wb

 

In this blog post we will be looking at how we can install Keras, an open source neural network library written in Python, on the Raspberry Pi 3. We will be using Theano instead of TensorFlow for our back end because installing TensorFlow on the Raspberry Pi is a tedious task and can cause errors and frustration if not done properly. So let’s start.

First lets install Numpy.

sudo apt-get install python3-numpy

Then Scipy.

sudo apt-get install libblas-dev
sudo apt-get install liblapack-dev
sudo apt-get install python3-dev # Possibly already installed
sudo apt-get install libatlas-base-dev # Optional
sudo apt-get install gfortran
sudo apt-get install python3-setuptools # Possibly already installed
sudo apt-get install python3-scipy

NOTE: The installation of Scipy takes a few hours (it took me almost 3 hours)

Then Theano.

sudo pip3 install scikit-learn
sudo pip3 install pillow
sudo apt-get install python3-h5py
sudo pip3 install --upgrade --no-deps git+git://github.com/Theano/Theano.git

And finally Keras.

sudo pip3 install keras

Now type the following.

sudo pip3 install --upgrade six
cd .keras
nano keras.json

Insert the following line into the JSON file.

"image_dim_ordering": "th"
"backend": "theano"

Save and close the file. Now open a python terminal and import Keras. If your installation was successful no errors should occur. Do note that it is usual to see deprecation warnings while you are installing the packages so don’t be afraid and think that it is not going to work.

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