


How can TensorFlow be used for Supervised Learning? How can TensorFlow be used for Unsupervised Learning?
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what is tensorflow Informational
- What is Tensor reshaping? What is the difference between eager execution and graph execution in TensorFlow?
- Installation and Setup What is TensorFlow?
- What is matrix multiplication in TensorFlow? What is broadcasting in TensorFlow?
- What are MirroredStrategy, CentralStorageStrategy, MultiWorkerMirroredStrategy, ParameterServerStrategy, and TPUStrategy? How do you implement distributed training with these strategies?
- How do you train an Estimator? How do you evaluate an Estimator?
- How do you perform hyperparameter tuning in TensorFlow using Keras Tuner?
- Why was TensorFlow 2.0 introduced? What are the major changes in TensorFlow 2.0?
- What are different learning rate schedules in TensorFlow? What is regularization in Neural Networks?
- How do you handle distributed training in custom training loops? What are tf.data.experimental?
- How are gradients used to update model parameters? What are activation functions in Neural Networks?
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