1. Deep learning is useful only for complex problems.
2. Deep learning solves the feature engineering problem.
3. People fear the ‘black box.’
4. Deep learning technology has the ability to transfer learning
5. Deep learning is good at logistic regression.
6. Most deep learning projects involve gradient descent.
7. Deep learning comes in many forms.
8. Convolutional neural networks are one of most common types of neural networks.
9. Deep learning is now better than humans at many tasks.