Deep Learning for Cancer Detection with Sebastian Thrun

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01. Intro
02. Skin Cancer
03. Survival Probability of Skin Cancer
04. Medical Classification
05. The data
06. Image Challenges
07. Quiz: Data Challenges
08. Solution: Data Challenges
09. Training the Neural Network
10. Quiz: Random vs Pre-initialized Weights
11. Solution: Random vs Pre-initialized Weight
12. Validating the Training
13. Quiz: Sensitivity and Specificity
14. Solution: Sensitivity and Specificity
15. More on Sensitivity and Specificity
16. Quiz: Diagnosing Cancer
17. Solution: Diagnosing Cancer
18. Refresh on ROC Curves
19. Quiz: ROC Curve
20. Solution: ROC Curve
21. Comparing our Results with Doctors
22. Visualization
23. What is the network looking at?
24. Refresh on Confusion Matrices
25. Confusion Matrix
26. Conclusion
27. Useful Resources
28. Mini Project Introduction
29. Mini Project: Dermatologist AI

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10. Quiz: Random vs Pre-initialized Weights

10 Quiz Random Vs Preinitiliazed Weights V3

Training Network Quiz

Do you think that pretraining the network with completely different images like cats, dogs, horses, and cars, made cancer classification better, the same, or worse?

Better

The same

Worse

SOLUTION:

Better

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