Building our first Convolutional Neural Networks in TensorFlow step by step
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
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