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on 23-Dec-2025 (Tue)

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Annotation 7781272653068

#deep-learning #keras #lstm #python #sequence

Below are some common configurations for the batch size:

batch size=32 :
weights are updated after a specified number of samples and the procedure is called mini-batch gradient descent. Common values are 32, 64, and 128, tailored to the desired efficiency and rate of model updates. If the batch size is not a factor of the number of samples in one epoch, then an additional batch size of the left over samples is run at the end of the epoch.
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Below are some common configurations for the batch size: batch size=1 : Weights are updated after each sample and the procedure is called stochas- tic gradient descent. batch size=32 : weights are updated after a specified number of samples and the procedure is called mini-batch gradient descent. Common values are 32, 64, and 128, tailored to the desired efficiency and rate of model updates. If the batch size is not a factor of the number of samples in one epoch, then an additional batch size of the left over samples is run at the end of the epoch. batch size=n : Where n is the number of samples in the training dataset. Weights are updated at the end of each epoch and the procedure is called batch gradient descent

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Flashcard 7782044929292

Tags
#finance
Question
NPV
Answer
Net Present Value

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
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NPV net present value

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