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--- |
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language: "en" |
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license: "apache-2.0" |
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tags: |
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- regression |
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- temperature conversion |
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- machine learning |
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- deep learning |
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- neural network |
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- Celsius to Fahrenheit |
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--- |
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# Celsius to Fahrenheit Model |
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## Model Description |
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This model is designed to convert temperatures from Celsius to Fahrenheit. It uses a simple neural network architecture that was trained on a dataset of temperatures in Celsius and their corresponding values in Fahrenheit. The model takes a temperature value in Celsius as input and predicts the equivalent temperature in Fahrenheit. |
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The model is capable of handling temperatures in a wide range, including extreme values, and is useful for applications that require temperature conversion in scientific or engineering contexts. |
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## Model Details |
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- **Model Type**: Neural Network |
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- **Task**: Temperature conversion (Celsius to Fahrenheit) |
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- **Training Dataset**: Randomly generated dataset of Celsius values from -100 to 100 |
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- **Architecture**: Simple feed-forward neural network with one hidden layer |
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- **Input**: Celsius temperature (float) |
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- **Output**: Fahrenheit temperature (float) |
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## Model Creator |
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- **Creator**: WolfInk |
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- **Affiliation**: WolfInk Studios |
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- **Model Repository**: [Hugging Face Model Page](https://huggingface.co/WolfInk/laxres) |
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## Usage |
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To use this model, simply provide a temperature value in Celsius, and the model will predict the corresponding temperature in Fahrenheit. The model is suitable for applications requiring fast and efficient temperature conversion. |
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Example usage: |
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```python |
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import tensorflow as tf |
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# Load the model |
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model = tf.keras.models.load_model('path_to_model') |
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# Input temperature in Celsius |
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celsius_temp = 25.0 |
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# Predict Fahrenheit temperature |
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fahrenheit_temp = model.predict([celsius_temp]) |
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print(f"{celsius_temp}°C is approximately {fahrenheit_temp[0][0]:.2f}°F") |
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