Tutorial by Topics: normalization



From the docs: "Normalizes the input to have 0-mean and/or unit (1) variance across the batch. This layer computes Batch Normalization as described in [1]. [...] [1] S. Ioffe and C. Szegedy, "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.&...
normalize_string(s::String, ...) ParameterDetailscasefold=trueFold the string to a canonical case based off the Unicode standard.stripmark=trueStrip diacritical marks (i.e. accents) from characters in the input string.
contrib.layers.batch_norm paramsRemarksbetapython bool type. Whether or not to center the moving_mean and moving_variance------------gammapython bool type. Whether or not to scale the moving_mean and moving_variance------------is_trainingAccepts python bool or TensorFlow tf.palceholder(tf.bool)---...

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