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class Sampling(layers.Layer):

"""Uses (mean, log_var) to sample z, the vector encoding a digit."""

def call(self, inputs):

mean, log_var = inputs

batch = tf.shape(mean)[0]

dim = tf.shape(mean)[1]

return mean + tf.exp(0.5 * log_var) * epsilon

class Sampling(layers.Layer):

"""Uses (mean, log_var) to sample z, the vector encoding a digit."""

def call(self, inputs):

mean, log_var = inputs

batch = tf.shape(mean)[0]

dim = tf.shape(mean)[1]

return mean + tf.exp(0.5 * log_var) * epsilon

class Sampling(layers.Layer):

"""Uses (mean, log_var) to sample z, the vector encoding a digit."""

def call(self, inputs):

mean, log_var = inputs

batch = tf.shape(mean)[0]

dim = tf.shape(mean)[1]

return mean + tf.exp(0.5 * log_var) * epsilon

Development & Test

We craft tailored solutions for your goals and rigorously test them for top-notch reliability.

Security

Efficiency

Speed

Accuracy

Status:

Updating:

Security

Efficiency

Speed

Accuracy

Status:

Updating:

Security

Efficiency

Speed

Accuracy

Status:

Updating:

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We deploy your solution seamlessly and ensure its continued performance with ongoing care.

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