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

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:

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")