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
- 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.