README.md

---
library_name: keras-hub
---
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.
This model is related to a `ImageClassifier` task.

Model config:
* **name:** efficient_net_backbone
* **trainable:** True
* **stackwise_width_coefficients:** [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
* **stackwise_depth_coefficients:** [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
* **dropout:** 0
* **depth_divisor:** 8
* **min_depth:** None
* **activation:** silu
* **input_shape:** [None, None, 3]
* **stackwise_kernel_sizes:** [3, 3, 3, 3, 3, 3]
* **stackwise_num_repeats:** [2, 4, 4, 6, 9, 15]
* **stackwise_input_filters:** [24, 24, 48, 64, 128, 160]
* **stackwise_output_filters:** [24, 48, 64, 128, 160, 272]
* **stackwise_expansion_ratios:** [1, 4, 4, 4, 6, 6]
* **stackwise_squeeze_and_excite_ratios:** [0, 0, 0, 0.25, 0.25, 0.25]
* **stackwise_strides:** [1, 2, 2, 2, 1, 2]
* **stackwise_block_types:** ['fused', 'fused', 'fused', 'unfused', 'unfused', 'unfused']
* **stackwise_force_input_filters:** [0, 0, 0, 0, 0, 0]
* **include_stem_padding:** True
* **use_depth_divisor_as_min_depth:** True
* **cap_round_filter_decrease:** True
* **stem_conv_padding:** valid
* **batch_norm_momentum:** 0.9
* **batch_norm_epsilon:** 1e-05
* **projection_activation:** None

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.