Setup Test Python
Testing your CNTK install with Python
We assume you have Python and CNTK installed on your machine, as well as the CNTK samples and tutorials. The Python installation is included in your PATH statement; if you have installed CNTK in a Python environment you will need to activate that Python environment before you run the samples.
- Open a standard command prompt
- Activate the Python environment if necessary
- Change into the sample directory
Run an example
Change into the
Tutorials/NumpyInterop directory and run the FeedForward example:
cd Tutorials cd NumpyInterop python FeedForwardNet.py
You will see the following output on the console:
Minibatch[ 1- 128]: loss = 0.564038 * 3200 Minibatch[ 129- 256]: loss = 0.308571 * 3200 Minibatch[ 257- 384]: loss = 0.295577 * 3200 Minibatch[ 385- 512]: loss = 0.270765 * 3200 Minibatch[ 513- 640]: loss = 0.252143 * 3200 Minibatch[ 641- 768]: loss = 0.234520 * 3200 Minibatch[ 769- 896]: loss = 0.231275 * 3200 Minibatch[ 897-1024]: loss = 0.215522 * 3200 Finished Epoch : loss = 0.296552 * 25600 error rate on an unseen minibatch 0.040000
Run Jupyter notebooks
CNTK contains several tutorials based on Jupyter notebooks. To use them, execute the following commands:
cd Tutorials jupyter notebook
This will start a browser with the available notebooks.