In the previous tutorial, we built Deep Neural Networks using TensorFlow. Most practical applications of deep learning today are built using programming frameworks, which have many built-in functions you can simply call.
In this notebook, we will:
Implement helper functions that we will use when implementing a TensorFlow model
Implement a fully functioning ConvNet using TensorFlow
After this tutorial we will be able to:
Build and train a ConvNet in TensorFlow for a classification problem
Text version tutorial: https://pylessons.com/Tensorflow-conv...
CNN full video playlist: • Convolution Neural Networks tutorials
Notebook: https://github.com/pythonlessons/Tens...
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