How it works...

TFLearn hides many of the implementation details exposed by TensorFlow and, in many cases, it allows us to focus on the definition of the ConvNet with a higher level of abstraction. Our pipeline reaches an accuracy of 88 percent in 50 iterations. The following image is a snapshot of the execution in a Jupyter notebook:

An example of Jupyter execution for CIFAR10 classification 
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