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Flashcard 7770704055564

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#recurrent-neural-networks #rnn

Question

Each prediction is generated by drawing a sample from the multinomial output distribution calculated by the bottom network layer; our model therefore does not produce point or interval estimates, each output is a [...]

Answer

simulated draw

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repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

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generated by drawing a sample from the multinomial output distribution calculated by the bottom network layer; our model therefore does not produce point or interval estimates, each output is a <span>simulated draw <span>

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Flashcard 7770705890572

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32 is a common batch size

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TfC_02_classification-PART_1
ssification - a sample can be assigned to more than one label from more than 2 label options Multiclass classification - a sample can be assigned to one label but from more than 2 label options <span>Multiclass image classificaton: pizza, steak, sushi Input_shape = [None, 224, 224, 3] - single image Input shape = [32, 224, 224, 3] - common batch size of images 32 is a common batch size How to generate such data? from sklearn.datasets import make_circles # Make 1000 examples n_samples=1000 # Create circles X, y = make_circles(n_samples, noise=0.03, random_state=42) How

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on 19-Nov-2025 (Wed)

Flashcard 7770704055564

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Original toplevel document (pdf)

Flashcard 7770705890572

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Original toplevel document