Questions tagged [sgd]
Stochastic Gradient Descent (SGD) is an iterative algorithms used for objective function optimization used in machine learning models.
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The central idea behind SGD
Pr. Hinton in his popular course on Coursera refers to the following fact:
Rprop doesn’t really work when we have very large datasets and need to perform mini-batch weights updates. Why it doesn’t ...
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input shape of keras Sequential model
i am new to neural networks using keras,
i have the following train samples input shape (150528, 1235) and output shape is (154457, 1235) where 1235 is the training examples,
how to put the input ...
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