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$ 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.
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 ...
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