kaibrach/eb_workshop

Elektrobit Workshop Neural Networks

EB_Workshop

Elektrobit Workshop on Neural Networks

1. Clone or Download the repository

1. Create a workshop folder e.g. C:\tmp\Workshop

Clone: git clone https://github.com/kaibrach/EB_Workshop.git

OR

Download (no Git installed): https://github.com/kaibrach/EB_Workshop/archive/main.zip

2. Prepare your System

You can either choose to create a virtual environment(recommended)** or use a docker file.

2.1 Using Virtual Environment

Step 1. Installation

1. We assume that you have installed python version 3.7 on your windows machine.
   Download Python 3.7.9 (64 Bit)

Step 2. Create Environment

2. Open Console or Powershell and navigate to the directory of the workshop folder e.g. cd C:\tmp\Workshop

3. Run python -m venv eb_workshop-env

4. Once you’ve created a virtual environment, you may activate it eb_workshop-env\Scripts\activate

5. Install all necessary python packages pip install -r requirements.txt

Step 3. Run Jupyter Notebook

Start jupyter notebooks in cmd/Powershell:

6. Run jupyter notebook from console

Hint: Create a Jupyter Kernel (only once) with python -m ipykernel install --user --name EB_WORKSHOP --display-name "EB Workshop"
The --name value is used by Jupyter internally. These commands will overwrite any existing kernel with the same name. --display-name is what you see in the notebook menus. This kernel can be selected within the notebook

2.2 Using Docker

Step 1. Installation

1. Install docker desktop
   Download Docker_Desktop
   --> Make sure you have virtualization (Hyper-V) enabled in your BIOS

Step 2. Create Environment

2. Start Windows Powershell

3. run command docker pull schmiederx/workshop:latest

Step 3. Run Jupyter Notebook

Start tensorflow container with jupyter notebooks in cmd/Powershell:

4. Open Windows Powershell and navigate to the directory of the workshop folder e.g. cd C:\tmp\Workshop

5. Run docker run -it --rm -v "$(pwd):/tf" -p 8888:8888 -p 6006:6006 schmiederx/workshop:latest

6. Copy the http://127.0.0.1/?token=xxxxxxxxx link from the command line and paste into webrowser address bar