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Complete segment 3- findindin images that most excite mixed4a channel 6#23

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Complete segment 3- findindin images that most excite mixed4a channel 6#23
1mustyz wants to merge 1 commit intoCohere-Labs-Community:mainfrom
1mustyz:segment_3_1mustyz

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@1mustyz 1mustyz commented Feb 18, 2026

Implement Dataset-Based Exemplar Visualization for Mixed4A Neurons
📋 Summary
Implements dataset-based neuron visualization using ImageNet validation set to identify natural images that maximally activate InceptionV1's mixed4a neurons, fulfilling Segment 3 requirements.

🎯 Objective
Find the top 10 ImageNet images that maximally activate each of the first 10 neurons in InceptionV1's mixed4a layer.

✅ Requirements Met
Model: InceptionV1 (pre-trained on ImageNet)
Target Layer: mixed4a
Neurons Analyzed: First 10 channels (0-9)
Dataset: ImageNet validation set
Top-K Images: 10 per neuron
Notebook naming: 1mustyz_segment_3_dataset_images.ipynb

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