File size: 1,859 Bytes
4484572 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
language: "en"
license: "apache-2.0"
tags:
- regression
- temperature conversion
- machine learning
- deep learning
- neural network
- Celsius to Fahrenheit
---
# Celsius to Fahrenheit Model
## Model Description
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.
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.
## Model Details
- **Model Type**: Neural Network
- **Task**: Temperature conversion (Celsius to Fahrenheit)
- **Training Dataset**: Randomly generated dataset of Celsius values from -100 to 100
- **Architecture**: Simple feed-forward neural network with one hidden layer
- **Input**: Celsius temperature (float)
- **Output**: Fahrenheit temperature (float)
## Model Creator
- **Creator**: WolfInk
- **Affiliation**: WolfInk Studios
- **Model Repository**: [Hugging Face Model Page](https://huggingface.co/WolfInk/laxres)
## Usage
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.
Example usage:
```python
import tensorflow as tf
# Load the model
model = tf.keras.models.load_model('path_to_model')
# Input temperature in Celsius
celsius_temp = 25.0
# Predict Fahrenheit temperature
fahrenheit_temp = model.predict([celsius_temp])
print(f"{celsius_temp}°C is approximately {fahrenheit_temp[0][0]:.2f}°F")
|