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Summary

Summary

In this learning path, you got an introduction to deep learning. This learning path covered:

  • Deep learning concepts
  • Deep learning architectures
  • A comparison of deep learning frameworks
  • Enabling Eager Execution in TensorFlow
  • Performing linear regression using TensorFlow
  • Creating a Jupyter Notebook that contains Python code for defining logistic regression, then using TensorFlow to implement it
  • An understanding of how to build neural networks without the help of the frameworks

Next steps

Continue your learning and building your deep learning skills with more how-to tutorials and articles on the IBM Developer machine learning hub.