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--- |
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datasets: |
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- prabinpanta0/celsius-to-fahrenheit |
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language: en |
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library_name: tf-keras |
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license: mit |
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metrics: mean_squared_error |
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pipeline_tag: tabular-regression |
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tags: |
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- temperature-conversion |
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- celsius-to-fahrenheit |
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- tensorflow |
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- neural-network |
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--- |
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# My Temperature Conversion Model |
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This model is a simple neural network that converts temperatures from Celsius to Fahrenheit. |
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## Model Description |
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This model was created as a practice exercise for the course "Intro to TensorFlow for Deep Learning" from Udacity, given by TensorFlow. It was trained on a dataset of temperature values in Celsius and their corresponding values in Fahrenheit. The model uses a small neural network built with TensorFlow. |
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## Usage |
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To use this model, you can load it with TensorFlow and make predictions as shown below: |
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```python |
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import tensorflow as tf |
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model = tf.keras.models.load_model('celsius-to-fahrenheit') |
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prediction = model.predict([100.0]) |
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print(f"Prediction for 100°C in Fahrenheit: {prediction[0][0]}") |
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``` |
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## Training |
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The model was trained using the following parameters: |
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- Optimizer: Adam |
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- Loss function: Mean Squared Error |
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- Epochs: 1000 |
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- Batch size: 10 |
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## Metrics |
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The model was evaluated based on the Mean Squared Error loss during training. |
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## Model Output |
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## Datasets |
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The model was trained on the [prabinpanta0/celsius-to-fahrenheit](https://huggingface.co/datasets/prabinpanta0/celsius-to-fahrenheit) dataset. |
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## License |
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This model is released under the MIT license. |
