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  1. How can data be normalized to predict the fuel efficiency with Auto MPG dataset using TensorFlow?

  2. How can predictions be made about the fuel efficiency with Auto MPG dataset using TensorFlow?

  3. How can model be fit to data with Auto MPG dataset using TensorFlow?

  4. How can model be evaluated based on Auto MPG using TensorFlow?

  5. How can predictions be made on Auto MPG dataset using TensorFlow?

  6. How can a sequential model be built on Auto MPG using TensorFlow?

  7. How can a sequential model be built on Auto MPG dataset using TensorFlow?

  8. How can a DNN (deep neural network) model be built on Auto MPG dataset using TensorFlow?

  9. How can a DNN (deep neural network) model be used to predict MPG values on Auto MPG dataset using TensorFlow?

  10. How can Tensorflow be used to save and load weights for MNIST dataset?

  11. How can Tensorflow be used to define a model for MNIST dataset?

  12. How can Keras be used to create a callback and save the weights using Python?

  13. How can Keras be used to evaluate the model using Python?

  14. How can Keras be used to load weights from checkpoint and re-evaluate the model using Python?

  15. How can Keras be used to save weights for model after specific number of epochs in Python?

  16. How can Keras be used to train a model with new callback in Python?

  17. How can Tensorflow be used to test, reset the model and load the latest checkpoint?

  18. How can Keras be used to manually save the weights using Python?

  19. How can Keras be used to save the entire model using Python?

  20. How can Keras be used to reload a fresh model from the saved model using Python?
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