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