README.md

---
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.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/662ccaab9d047b3700b1d4cd/Pc4sHWyXfsoUbjdSAY_zA.png)

## Model Output


![image/png](https://cdn-uploads.huggingface.co/production/uploads/662ccaab9d047b3700b1d4cd/AbEhf1yTPAbqq59fxmGLG.png)

## 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.