$ 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.

The Python program should output “Hello, TensorFlow!” if the installation was successful. For more such intel IoT resources and tools from Intel, please visit the Intel® Developer Zone ...

Similarly, you can uninstall TensorFlow with "pip uninstall tensorflow." To verify that Python, TensorFlow and Keras have been successfully installed, open a command shell and enter "python" to launch ...