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resnet_101_imagenet

Image Classification
KerasHub
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Files changed (8) hide show
  1. README.md +19 -0
  2. config.json +40 -0
  3. image_converter.json +33 -0
  4. metadata.json +6 -0
  5. model.weights.h5 +3 -0
  6. preprocessor.json +51 -0
  7. task.json +103 -0
  8. task.weights.h5 +3 -0
README.md ADDED
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+ ---
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+ library_name: keras-hub
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+ ---
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+ This is a [`ResNet` model](https://keras.io/api/keras_hub/models/res_net) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
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+ This model is related to a `ImageClassifier` task.
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+
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+ Model config:
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+ * **name:** res_net_backbone
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+ * **trainable:** True
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+ * **input_conv_filters:** [64]
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+ * **input_conv_kernel_sizes:** [7]
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+ * **stackwise_num_filters:** [64, 128, 256, 512]
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+ * **stackwise_num_blocks:** [3, 4, 23, 3]
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+ * **stackwise_num_strides:** [1, 2, 2, 2]
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+ * **block_type:** bottleneck_block
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+ * **use_pre_activation:** False
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+ * **image_shape:** [None, None, 3]
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+
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+ This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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+ {
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+ "module": "keras_hub.src.models.resnet.resnet_backbone",
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+ "class_name": "ResNetBackbone",
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+ "config": {
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+ "name": "res_net_backbone",
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+ "trainable": true,
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+ "input_conv_kernel_sizes": [
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+ "block_type": "bottleneck_block",
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+ "use_pre_activation": false,
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+ "image_shape": [
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+ ]
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+ },
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+ "registered_name": "keras_hub>ResNetBackbone"
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+ }
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metadata.json ADDED
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+ {
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+ "keras_version": "3.5.0",
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+ "keras_hub_version": "0.16.1",
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+ "parameter_count": 42605504,
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+ "date_saved": "2024-10-17@19:17:53"
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