What does this video tutorial cover?
— This video tutorial covers the basics of TensorFlow, including building a churn model, training and predicting with it, and saving and reloading the model from memory.
How do you import data in TensorFlow?
— To import data in TensorFlow, you can use the import data function.
How do you build and compile a model in TensorFlow?
— To build and compile a model in TensorFlow, you can use the sequential class and add dense layers by writing "model.add(dense)".
How do you save and reload a TensorFlow model?
— To save a TensorFlow model, you can use the model.save() function to save it to a folder. To reload a TensorFlow model, you can use the load_model() function to load it from the same folder.
What are the steps to evaluate the performance of a TensorFlow model?
— The steps to evaluate the performance of a TensorFlow model include creating a trained test split, training the model with x and y train data frames, and evaluating its performance using accuracy score.
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