tensorflow_tutorials/deep_mnist/deep_mnist.py
def readout_layer(cls, weight_shape, bias_shape, inputs):
        """Return a new readout layer."""
        weights = cls.weight_variable(weight_shape)
        bias = cls.bias_variable(bias_shape)

        return tf.nn.softmax(tf.matmul(inputs, weights) + bias)
Return a new readout layer.
Return a new readout layer.
Return a new readout layer .
def readout_layer(cls, weight_shape, bias_shape, inputs):
        weights = cls.weight_variable(weight_shape)
        bias = cls.bias_variable(bias_shape)
        return tf.nn.softmax(tf.matmul(inputs, weights) + bias)
def readout_layer ( cls , weight_shape , bias_shape , inputs ) : weights = cls . weight_variable ( weight_shape ) bias = cls . bias_variable ( bias_shape ) return tf . nn . softmax ( tf . matmul ( inputs , weights ) + bias )
Return a new readout layer.
Return a new readout layer .
"""Return a new readout layer."""
cls
weight_shape
bias_shape
inputs