Skip to content

chapter-4/4-improving-accuracy-with-fine-tuning.ipynb does not contain the final finetuning section that is in book #167

New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

#

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

Jump to bottom
Open
gitgithan opened this issue Feb 11, 2023 · 1 comment
Open

chapter-4/4-improving-accuracy-with-fine-tuning.ipynb does not contain the final finetuning section that is in book #167

gitgithan opened this issue Feb 11, 2023 · 1 comment

Comments

@gitgithan
Copy link

gitgithan commented Feb 11, 2023 •
edited
Loading

There is a final finetuning throwing away dense and dropout layers that was expected according to the book but is missing in the notebook
@sidgan
Copy link
Collaborator

sidgan commented Mar 20, 2023

Thanks! Do you want to edit with a PR?

manavrmoorthy pushed a commit to manavrmoorthy/Practical-Deep-Learning-Book that referenced this issue Aug 28, 2023
@manavmoorthy
chapter 4:
90d5a6f 
- removing deprecated files
- the gcloud sessions are not using the same runtime (so we need to re-download data) so writing outputs to gdrive to make sure things are running and outputs are accessible for subsequent notebooks in colab
- renaming 4/1 notebook - since it had underscores instead of hyphens, the colab link in the notebook was not working
- xception added to imports for notebook 1, since it is part of the model_maker
- PracticalDL#163 - fixed
- PracticalDL#164 - fixed
- PracticalDL#169 - fixed
- metric='angular' added for annoy as default arg will be removed in subsequent releases
- removing a duplicate PCA + Annoy section
- PracticalDL#170 - fixed
- time is a negligible factor here, and we do not need it in the plots (since we are using optimised accuracy calculation using numpy from issue 170) - hence, modifying the plots
- removing matplotlib.style.use('seaborn') since it is deprecated
- the final fine-tuning notebook uses Caltech256 features (as per the book), which do not exist, since fine-tuning was done on Caltech101 - hence, renaming those files to caltech101. Can we retain caltech101 to test?
- PracticalDL#167 - fixed, if the above is okay
- formatted the code

chapter 5:
- write_grads and batch_size params have been removed from callback, or will be removed in subsequent releases
- PracticalDL#174 - not able to replicate this issue
- added a pointer to the notebook that suggests that for tensorboard to work without a 403 Forbidden error on Colab, cookies need to be allowed (I faced this issue)
- notebook 3 in chapter 5 is the exact same as notebook 2 in chapter 2 - replaced the file directly
- the autokeras notebook in Colab is named autokeras-error.ipynb - where can we change this to autokeras.ipynb?
- fixing accuracy score calculation in the autokeras notebook
- formatted the code

chapter 6:
- including the download_sample_image function
- formatted the code
@manavrmoorthy manavrmoorthy mentioned this issue Aug 28, 2023
Open
# for free to join this conversation on GitHub. Already have an account? # to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@sidgan @gitgithan