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README.md
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---
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---
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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| Hyperparameters | Value |
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| :-- | :-- |
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| name | Adam |
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| weight_decay | None |
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| clipnorm | None |
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| global_clipnorm | None |
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| clipvalue | None |
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| use_ema | False |
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| ema_momentum | 0.99 |
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| ema_overwrite_frequency | None |
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| jit_compile | True |
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| is_legacy_optimizer | False |
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| learning_rate | 9.999999747378752e-05 |
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| beta_1 | 0.9 |
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| beta_2 | 0.999 |
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| epsilon | 1e-07 |
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| amsgrad | False |
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| training_precision | float32 |
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## Model Plot
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<details>
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<summary>View Model Plot</summary>
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---
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tags:
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- image-classification
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- keras
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- tensorflow
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license: apache-2.0
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datasets:
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- fruits-360
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metrics:
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- accuracy
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# VGG16 Fruit Classifier
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This is a VGG16 model fine-tuned on the Fruits-360 dataset for image classification.
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