Segment 3 Notebook Submission#16
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Ayesha-Imr wants to merge 2 commits intoCohere-Labs-Community:mainfrom
Open
Segment 3 Notebook Submission#16Ayesha-Imr wants to merge 2 commits intoCohere-Labs-Community:mainfrom
Ayesha-Imr wants to merge 2 commits intoCohere-Labs-Community:mainfrom
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Segment 03: Dataset Exemplars with ImageNet Validation Set
Summary
Added Segment 03 notebook for finding real-world dataset exemplars — the top-10 ImageNet images that maximally activate each neuron in InceptionV1's
mixed4alayer.Uses validation set (50K images) instead of full training set (1.28M).
Why validation set?
Initial approach used streaming + checkpointing for full training set, but hit limitations: streaming datasets have no random access. On resume, the pipeline must re-iterate through all previous images, making checkpoint recovery impractical.
What it does
mixed4aactivationsResults
Grid shows 10 channels × 10 top images.