Jupyter notebooks with reading notes from the Deep Learning textbook and code for simple projects.
On Mac OS X:
virtualenv -p python3.5 .pydl
source .pydl/bin/activate
pip -r requirements.txt
Note tensorflow version for Mac is hard-wired in requirements.txt
.
On Linux use pip install tensorflow==1.0.1
instead.
Start a notebook server
jupyter notebook
then go to the project01_MNIST_digit_recognizer/
directory.
Currently mxnet
and tensorflow
sample code is provided.