Added Notebook version 3 for resnet 50. #24
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- Updated DATASET_PATH to use relative paths (../stanford-cars/test) - Fixed MODEL_PATH to reference local model files - Corrected class_names_path for proper class definitions - Ensures all notebooks work from their respective directories - Covers ResNet-50, ResNet-101, ConvNeXt, EfficientNet-B3, EfficientNet-B5
- Created python environment configuration (python_env.yaml) with dependencies. - Added requirements file (requirements.txt) specifying necessary packages. - Initialized model metadata (meta.yaml) including model ID, experiment ID, and artifact location. - Recorded performance metrics: accuracy, F1 score, FLOPs, GFLOPs, inference time, MACs, memory buffers, memory parameters, total memory, model size, precision, and recall. - Defined model architecture and parameters including input shape, number of classes, and layers. - Specified model details such as framework (PyTorch), format (ONNX), and versioning information. - Added tags for model classification, dataset, domain, and licensing.
… across all the notebooks.
…s a parameterized version for the evaluation steps.
…external_data to be "False".
cshari-zededa
approved these changes
Oct 29, 2025
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