The graph and session mechanisms were cancelled in TensorFlow20.

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Which of the following are the optimization problems classified according to the conditions? (Multiple choice)

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Training a large model is a systematic project, covering multiple aspects including large model development, training, and fine-tuning. Improving the efficiency and scalability of large model distributed scale training is the main function of which of the following large model development kits?

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Recurrent neural networks can capture dynamic information in serialized data.

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In text classification methods, compared with methods based on traditional statistics, methods based on deep learning can automatically extract features.

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Huawei’s AI landscape includes public, IoT industry terminals, consumer terminals, and other end-to-edge, cloud deployment environments.

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What is the method to check the tensor dimension in TensorFlow20?

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An unbiased estimate in point estimation means that the mathematical expectation of the sampling distribution of the estimator is equal to the true value of the population parameter.

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Mindfomers will save two weight output files, checkpoint and checkpoint_network, in the output directory. Checkpoint_network only saves weight parameters, which can be used as pre-training weights or reasoning evaluation and supports new point resumption training.

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The training rule used by recurrent neural networks is called Back Propagation Through Time, or BPTT for short.

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