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prabinpanta0/celsius-to-fahrenheit
celsius-to-fahrenheit is a tabular regression model from prabinpanta0. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. It is set up for tf-keras. The card lists the license as mit.
This model is a simple neural network that converts temperatures from Celsius to Fahrenheit.
Downloads · 30 days
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From the Hugging Face model README
This model is a simple neural network that converts temperatures from Celsius to Fahrenheit.
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.
To use this model, you can load it with TensorFlow and make predictions as shown below:
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]}")
The model was trained using the following parameters:
The model was evaluated based on the Mean Squared Error loss during training.


The model was trained on the prabinpanta0/celsius-to-fahrenheit dataset.
This model is released under the MIT license.