Comments (1)
Looks like the Caltech 101 dataset has moved locations and now has to be downloaded through the Google Drive link. I've updated the code to use gdown
to download the dataset. Thanks for reporting!
from practical-deep-learning-book.
Related Issues (20)
- Cannot load 2-colab-what-does-my-neural-network-think.ipynb HOT 2
- Predicted Class Name not plottted in Ch2-what-does-my-neural-network-think.ipynb HOT 1
- requirements.txt HOT 2
- Invalid Argument Error HOT 6
- missing chapter HOT 1
- CV ML AL Book
- Book
- chapter-4/1_feature_extraction.ipynb assumed running on colab
- chapter-4/1_feature_extraction.ipynb using default batch size 32 instead of defined batch_size 128 HOT 1
- chapter-4/2-similarity-search-level-2.ipynb Annoy section never loaded index after initializing, inaccurate performance measure
- chapter-4/3-reduce-feature-length-with-pca.ipynb Wrong data used in annoy section
- chapter-4/4-improving-accuracy-with-fine-tuning.ipynb does not contain the final finetuning section that is in book HOT 1
- chapter-4/1_feature_extraction.ipynb finetuned model was predicting 101 classes and not 2048 features HOT 2
- chapter-4/2-similarity-search-level-1.ipynb Broken float division HOT 4
- chapter-4/2-similarity-search-level-3.ipynb Accuracy calculation on 2048 dim is too slow HOT 1
- chapter-4/2-similarity-search-level-1.ipynb - Plot a scatter plot from the generated t-SNE results HOT 4
- chapter-2/1-predict-class MobileNetV3Small
- chapter-5/1-develop-tool.ipynb
- chapter 9. Conversion of h5 model to pb.
- chapter 9. infer.py does not work, but i fixed it. HOT 1
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from practical-deep-learning-book.