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chapter-4/1_feature_extraction.ipynb assumed running on colab #163
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manavrmoorthy
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Aug 28, 2023
- 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
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features = extract_features('cat.jpg', model)
is assuming it is run in colab. I suggest
features = extract_features(IMG_PATH, model)
so it also works locally off colab and uses IMG_PATH which was defined in the cell right beforeSame for the
%timeit features = extract_features('cat.jpg', model)
line, to change to%timeit features = extract_features(IMG_PATH, model)
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