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library_name: keras-hub |
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This is a [`EfficientNet` model](https://keras.io/api/keras_hub/models/efficient_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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Model config: |
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* **name:** efficient_net_backbone |
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* **trainable:** True |
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* **width_coefficient:** 1.0 |
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* **depth_coefficient:** 1.1 |
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* **dropout:** 0 |
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* **depth_divisor:** 8 |
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* **min_depth:** None |
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* **activation:** swish |
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* **input_shape:** [None, None, 3] |
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* **stackwise_kernel_sizes:** [3, 3, 5, 3, 5, 5, 3] |
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* **stackwise_num_repeats:** [1, 2, 2, 3, 3, 4, 1] |
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* **stackwise_input_filters:** [32, 16, 24, 40, 80, 112, 192] |
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* **stackwise_output_filters:** [16, 24, 40, 80, 112, 192, 320] |
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* **stackwise_expansion_ratios:** [1, 6, 6, 6, 6, 6, 6] |
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* **stackwise_squeeze_and_excite_ratios:** [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25] |
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* **stackwise_strides:** [1, 2, 2, 2, 1, 2, 1] |
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* **stackwise_block_types:** ['v1', 'v1', 'v1', 'v1', 'v1', 'v1', 'v1'] |
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* **include_stem_padding:** True |
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* **use_depth_divisor_as_min_depth:** True |
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* **cap_round_filter_decrease:** True |
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* **stem_conv_padding:** valid |
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* **batch_norm_momentum:** 0.9 |
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* **batch_norm_epsilon:** 1e-05 |
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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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