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:
1import tensorflow as tf
2
3model = tf.keras.models.load_model('celsius-to-fahrenheit')
4prediction = model.predict([100.0])
5print(f"Prediction for 100°C in Fahrenheit: {prediction[0][0]}")
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.