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
* **width_coefficient:** 1.0
* **depth_coefficient:** 1.0
* **dropout:** 0
* **depth_divisor:** 8
* **min_depth:** None
* **activation:** swish
* **input_shape:** [None, None, 3]
* **stackwise_kernel_sizes:** [3, 3, 5, 3, 5, 5, 3]
* **stackwise_num_repeats:** [1, 2, 2, 3, 3, 4, 1]
* **stackwise_input_filters:** [32, 16, 24, 40, 80, 112, 192]
* **stackwise_output_filters:** [16, 24, 40, 80, 112, 192, 320]
* **stackwise_expansion_ratios:** [1, 6, 6, 6, 6, 6, 6]
* **stackwise_squeeze_and_excite_ratios:** [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25]
* **stackwise_strides:** [1, 2, 2, 2, 1, 2, 1]
* **stackwise_block_types:** ['v1', 'v1', 'v1', 'v1', 'v1', 'v1', 'v1']
* **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

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.