keras / efficientnet_b0_ra_imagenet

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 2
Model's Last Updated: June 17 2025
image-classification

Introduction of efficientnet_b0_ra_imagenet

Model Details of efficientnet_b0_ra_imagenet

This is a EfficientNet model 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 for more information.

Runs of keras efficientnet_b0_ra_imagenet on huggingface.co

8
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
2
30-day runs

More Information About efficientnet_b0_ra_imagenet huggingface.co Model

More efficientnet_b0_ra_imagenet license Visit here:

https://choosealicense.com/licenses/apache-2.0

efficientnet_b0_ra_imagenet huggingface.co

efficientnet_b0_ra_imagenet huggingface.co is an AI model on huggingface.co that provides efficientnet_b0_ra_imagenet's model effect (), which can be used instantly with this keras efficientnet_b0_ra_imagenet model. huggingface.co supports a free trial of the efficientnet_b0_ra_imagenet model, and also provides paid use of the efficientnet_b0_ra_imagenet. Support call efficientnet_b0_ra_imagenet model through api, including Node.js, Python, http.

efficientnet_b0_ra_imagenet huggingface.co Url

https://huggingface.co/keras/efficientnet_b0_ra_imagenet

keras efficientnet_b0_ra_imagenet online free

efficientnet_b0_ra_imagenet huggingface.co is an online trial and call api platform, which integrates efficientnet_b0_ra_imagenet's modeling effects, including api services, and provides a free online trial of efficientnet_b0_ra_imagenet, you can try efficientnet_b0_ra_imagenet online for free by clicking the link below.

keras efficientnet_b0_ra_imagenet online free url in huggingface.co:

https://huggingface.co/keras/efficientnet_b0_ra_imagenet

efficientnet_b0_ra_imagenet install

efficientnet_b0_ra_imagenet is an open source model from GitHub that offers a free installation service, and any user can find efficientnet_b0_ra_imagenet on GitHub to install. At the same time, huggingface.co provides the effect of efficientnet_b0_ra_imagenet install, users can directly use efficientnet_b0_ra_imagenet installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

efficientnet_b0_ra_imagenet install url in huggingface.co:

https://huggingface.co/keras/efficientnet_b0_ra_imagenet

Url of efficientnet_b0_ra_imagenet

efficientnet_b0_ra_imagenet huggingface.co Url

Provider of efficientnet_b0_ra_imagenet huggingface.co

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