Nn Ops
Summary
Classes |
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tensorflow::
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Performs average pooling on the input. |
tensorflow::
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Performs 3D average pooling on the input. |
tensorflow::
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Computes gradients of average pooling function. |
tensorflow::
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Adds
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tensorflow::
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The backward operation for "BiasAdd" on the "bias" tensor. |
tensorflow::
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Computes a 2-D convolution given 4-D
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tensorflow::
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Computes the gradients of convolution with respect to the filter. |
tensorflow::
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Computes the gradients of convolution with respect to the input. |
tensorflow::
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Computes a 3-D convolution given 5-D
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tensorflow::
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Computes the gradients of 3-D convolution with respect to the filter. |
tensorflow::
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Computes the gradients of 3-D convolution with respect to the input. |
tensorflow::
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Returns the dimension index in the destination data format given the one in. |
tensorflow::
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Permute input tensor from
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tensorflow::
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Computes a 2-D depthwise convolution given 4-D
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tensorflow::
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Computes the gradients of depthwise convolution with respect to the filter. |
tensorflow::
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Computes the gradients of depthwise convolution with respect to the input. |
tensorflow::
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Computes the grayscale dilation of 4-D
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tensorflow::
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Computes the gradient of morphological 2-D dilation with respect to the filter. |
tensorflow::
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Computes the gradient of morphological 2-D dilation with respect to the input. |
tensorflow::
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Computes the exponential linear function. |
tensorflow::
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Performs fractional average pooling on the input. |
tensorflow::
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Performs fractional max pooling on the input. |
tensorflow::
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Batch normalization. |
tensorflow::
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Gradient for batch normalization. |
tensorflow::
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Gradient for batch normalization. |
tensorflow::
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Gradient for batch normalization. |
tensorflow::
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Batch normalization. |
tensorflow::
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Batch normalization. |
tensorflow::
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Performs a padding as a preprocess during a convolution. |
tensorflow::
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Performs a resize and padding as a preprocess during a convolution. |
tensorflow::
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Says whether the targets are in the top
|
tensorflow::
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Says whether the targets are in the top
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tensorflow::
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L2 Loss. |
tensorflow::
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Local Response Normalization. |
tensorflow::
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Computes log softmax activations. |
tensorflow::
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Performs max pooling on the input. |
tensorflow::
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Performs 3D max pooling on the input. |
tensorflow::
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Computes gradients of 3D max pooling function. |
tensorflow::
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Computes second-order gradients of the maxpooling function. |
tensorflow::
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Computes second-order gradients of the maxpooling function. |
tensorflow::
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Computes second-order gradients of the maxpooling function. |
tensorflow::
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Computes second-order gradients of the maxpooling function. |
tensorflow::
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Computes gradients of the maxpooling function. |
tensorflow::
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Performs max pooling on the input. |
tensorflow::
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Performs max pooling on the input and outputs both max values and indices. |
tensorflow::
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Finds values of the
|
tensorflow::
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Produces the average pool of the input tensor for quantized types. |
tensorflow::
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Quantized Batch normalization. |
tensorflow::
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|
tensorflow::
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Computes a 2D convolution given quantized 4D input and filter tensors. |
tensorflow::
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Produces the max pool of the input tensor for quantized types. |
tensorflow::
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Computes Quantized Rectified Linear:
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tensorflow::
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Computes Quantized Rectified Linear 6:
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tensorflow::
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Computes Quantized Rectified Linear X:
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tensorflow::
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Computes rectified linear:
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tensorflow::
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Computes rectified linear 6:
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tensorflow::
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Computes scaled exponential linear:
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tensorflow::
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Computes softmax activations. |
tensorflow::
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Computes softmax cross entropy cost and gradients to backpropagate. |
tensorflow::
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TODO: add doc. |
tensorflow::
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Computes softsign:
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tensorflow::
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Computes softmax cross entropy cost and gradients to backpropagate. |
tensorflow::
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Finds values and indices of the
|