$ python -m tensorflow.models.image.mnist.convolutional While that’s grinding away and making your computer fan spin, you might want to read more about what’s going on.

As before, there are multiple ways of installing TensorFlow including Python virtual environments, “native” pip, Docker, and building from sources.

To verify that Python, TensorFlow and Keras have been successfully installed, open a command shell and enter "python" to launch the Python interpreter. You'll see the ">>>" Python prompt.