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