Tensorflow Tutorial

Example with Face Embeddings

Clone this repo and cd into it.

git clone https://github.com/abaybektursun/tf_tutorial
cd tf_tutorial

Make sure that you have virutalenv

pip3 install virtualenv

Now we will create a virtualenv. Follow the steps for your operating system

virtualenv --system-site-packages -p python3 ./venv
source ./venv/bin/activate
pip3 install --upgrade pip

virtualenv --system-site-packages -p python3 ./venv
.\venv\Scripts\activate

If you have an NVIDIA card and want it to be utilized by TF, you can follow the instructions for GPU. Otherwise follow the CPU instructions.

pip3 install -r requirements_cpu.txt

pip3 install -r requirements_gpu.txt

In addition, you will have to have CUDA 9.0 and cuDNN installed.

Install CUDA 9.0 from here: https://developer.nvidia.com/cuda-90-download-archive
Install cuDNN by following instructions for your specific platform here. Make sure to downlad the cuDNN specifically for CUDA 9.0: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
On Windows, GPU version of Tensorflow only supports Python 3.5.x

Install new kernel for the jupyter notebook

ipython kernel install --user --name=tf_tutorial

Star the jupyter notebook

jupyter notebook