Searched refs:Gradients (Results 1 – 25 of 32) sorted by relevance
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_MaxPoolGradWithArgmax.pbtxt | 13 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the
26 Gradients w.r.t. the input of `max_pool`.
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| D | api_def_MaxPoolGradGradWithArgmax.pbtxt | 12 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the
25 Gradients of gradients w.r.t. the input of `max_pool`.
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| D | api_def_FractionalMaxPoolGrad.pbtxt | 19 4-D with shape `[batch, height, width, channels]`. Gradients
40 4-D. Gradients w.r.t. the input of `fractional_max_pool`.
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| D | api_def_MaxPoolGradV2.pbtxt | 18 4-D. Gradients w.r.t. the output of `max_pool`.
37 Gradients w.r.t. the input to `max_pool`.
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| D | api_def_AvgPoolGrad.pbtxt | 13 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t.
20 4-D. Gradients w.r.t. the input of `avg_pool`.
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| D | api_def_MaxPoolGrad.pbtxt | 19 4-D. Gradients w.r.t. the output of `max_pool`.
25 Gradients w.r.t. the input to `max_pool`.
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| D | api_def_MaxPoolGradGrad.pbtxt | 18 4-D. Gradients of gradients w.r.t. the input of `max_pool`.
24 Gradients of gradients w.r.t. the input to `max_pool`.
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| D | api_def_MaxPoolGradGradV2.pbtxt | 18 4-D. Gradients of gradients w.r.t. the input of `max_pool`.
37 Gradients of gradients w.r.t. the input to `max_pool`.
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| D | api_def_FractionalAvgPoolGrad.pbtxt | 13 4-D with shape `[batch, height, width, channels]`. Gradients
34 4-D. Gradients w.r.t. the input of `fractional_avg_pool`.
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| D | api_def_ResizeNearestNeighborGrad.pbtxt | 20 4-D with shape `[batch, orig_height, orig_width, channels]`. Gradients
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| D | api_def_LRNGrad.pbtxt | 52 summary: "Gradients for Local Response Normalization."
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| D | api_def_ResizeBicubicGrad.pbtxt | 21 Gradients with respect to the input image. Input image must have been
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| D | api_def_ResizeBilinearGrad.pbtxt | 21 Gradients with respect to the input image. Input image must have been
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| D | api_def_MaxPool3DGradGrad.pbtxt | 24 Gradients of gradients w.r.t. the input to `max_pool`.
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| D | api_def_BatchNormWithGlobalNormalizationGrad.pbtxt | 82 summary: "Gradients for batch normalization."
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| D | api_def_Conv2DBackpropInput.pbtxt | 21 Gradients w.r.t. the output of the convolution.
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| D | api_def_Conv2DBackpropFilter.pbtxt | 21 Gradients w.r.t. the output of the convolution.
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| D | api_def_DepthwiseConv2dNativeBackpropFilter.pbtxt | 25 Gradients w.r.t. the output of the convolution.
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| D | api_def_DepthwiseConv2dNativeBackpropInput.pbtxt | 24 Gradients w.r.t. the output of the convolution.
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| /external/tensorflow/tensorflow/cc/gradients/ |
| D | README.md | 3 Gradients are currently being ported from
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| /external/tensorflow/tensorflow/contrib/eager/ |
| D | README.md | 53 - Notebook: [Gradients](python/examples/notebooks/2_gradients.ipynb)
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| /external/tensorflow/tensorflow/contrib/quantize/ |
| D | README.md | 72 [2] Y.Bengio, "Estimating or Propagating Gradients Through Stochastic Neurons
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| /external/tensorflow/tensorflow/docs_src/extend/ |
| D | language_bindings.md | 30 - *Gradients (AKA automatic differentiation)*: Given a graph and a list of
61 Gradients | `tf.gradients` …
225 ### Gradients, functions and control flow
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| /external/skia/fuzz/ |
| D | FuzzGradients.cpp | 253 DEF_FUZZ(Gradients, fuzz) { in DEF_FUZZ() argument
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| /external/skqp/fuzz/ |
| D | FuzzGradients.cpp | 253 DEF_FUZZ(Gradients, fuzz) { in DEF_FUZZ() argument
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