How to Control the Stability of Training Neural Networks With the Batch Size
https://machinelearningmastery.com/how-to-control-the-speed-and-stability-of-training-neural-networks-with-gradient-descent-batch-size/
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https://machinelearningmastery.com/how-to-control-the-speed-and-stability-of-training-neural-networks-with-gradient-descent-batch-size/
#Jason_BrownLee #Gradient_Descent_Batch_Size
@ml_nlp_cv
MachineLearningMastery.com
How to Control the Stability of Training Neural Networks With the Batch Size - MachineLearningMastery.com
Neural networks are trained using gradient descent where the estimate of the error used to update the weights is calculated based on a subset of the training dataset.
The number of examples from the training dataset used in the estimate of the error gradient…
The number of examples from the training dataset used in the estimate of the error gradient…