Difference between revisions of "DSC180F20W8P"
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(Created page with "=Week 8 Participation Assignment= ==Reading== * Read chapter 5.4 of Deep Learning with Python (by François Chollet). * Skim chapters 5.1-5.3 as needed to be able to follow ...") |
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==Participation Assignment (due November 24th at noon)== | ==Participation Assignment (due November 24th at noon)== | ||
| − | Book chapter 5.4 describes three ways for visualizing what neural networks learn: intermediate activations, | + | Book chapter 5.4 describes three ways for visualizing what neural networks learn: intermediate activations, CNN filters, heatmaps. |
| − | Summarize each of them in your own words in 2-3 sentences each. | + | |
| + | * Summarize each of them in your own words in 2-3 sentences each. | ||
Latest revision as of 23:21, 17 November 2020
Week 8 Participation Assignment
Reading
- Read chapter 5.4 of Deep Learning with Python (by François Chollet).
- Skim chapters 5.1-5.3 as needed to be able to follow chapter 5.4.
Free PDF versions of the book are available at:
- http://faculty.neu.edu.cn/yury/AAI/Textbook/Deep%20Learning%20with%20Python.pdf
- https://github.com/letspython3x/Books/blob/master/Deep%20Learning%20with%20Python.pdf
Participation Assignment (due November 24th at noon)
Book chapter 5.4 describes three ways for visualizing what neural networks learn: intermediate activations, CNN filters, heatmaps.
- Summarize each of them in your own words in 2-3 sentences each.
