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  - tensorflow
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  - neural-network
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  - tensorflow
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  - neural-network
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+ # My Temperature Conversion Model
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+ This model is a simple neural network that converts temperatures from Celsius to Fahrenheit.
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+ ## Model Description
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+
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+ 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.
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+ ## Usage
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+ To use this model, you can load it with TensorFlow and make predictions as shown below:
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+ ```python
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+ import tensorflow as tf
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+
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+ model = tf.keras.models.load_model('my_tf_model')
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+ prediction = model.predict([100.0])
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+ print(f"Prediction for 100°C in Fahrenheit: {prediction[0][0]}")
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+ ```
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+ ## Training
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+ The model was trained using the following parameters:
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+
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+ ```yml
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+ Optimizer: Adam
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+ Loss function: Mean Squared Error
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+ Epochs: 1000
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+ Batch size: 10
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+ Metrics
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+ The model was evaluated based on the Mean Squared Error loss during training.
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+ ```
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+ ## License
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+ This model is released under the MIT license.