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大約有 4,000 項符合查詢結(jié)果 ,庫內(nèi)數(shù)據(jù)總量為 78,250 項。(搜索耗時:0.0251秒)

2491.TensorFlow函數(shù)教程:tf.nn.normalize_moments

...ts( counts, mean_ss, variance_ss, shift, name=None )定義在:tensorflow/python/ops/nn_impl.py.請參閱指南:神經(jīng)網(wǎng)絡(luò)>規(guī)范化根據(jù)足夠的統(tǒng)計數(shù)據(jù)計算均值和方差.參數(shù): counts:一個Tensor,包含數(shù)據(jù)的總計數(shù)(一個值). mean_ss:一個Tensor,包含均值...

http://www.o2fo.com/tensorflow_python/tf_nn_normalize_moments.html

2492.TensorFlow函數(shù)教程:tf.nn.relu6

tf.nn.relu6函數(shù)tf.nn.relu6( features, name=None )定義在:tensorflow/python/ops/nn_ops.py.請參閱指南:層(contrib)>用于建立神經(jīng)網(wǎng)絡(luò)層的高級操作,神經(jīng)網(wǎng)絡(luò)>激活函數(shù)計算校正線性6:min(max(features, 0), 6).參數(shù): features:一個Tensor,類型為float,d...

http://www.o2fo.com/tensorflow_python/tf_nn_relu6.html

2493.TensorFlow函數(shù)教程:tf.nn.relu_layer

...數(shù)tf.nn.relu_layer( x, weights, biases, name=None )定義在:tensorflow/python/ops/nn_impl.py.計算Relu(x * weight + biases).參數(shù): x:2D張量.維度通常為:batch,in_units weights:2D張量.維度通常為:in_units,out_units biases:1D張量.維度為:out_units name:...

http://www.o2fo.com/tensorflow_python/tensorflow_python-l7i3300n.html

2494.TensorFlow函數(shù)教程:tf.nn.selu

...lu( features, name=None ) 在生成的文件中定義:tensorflow/python/ops/gen_nn_ops.py.計算縮放指數(shù)線性: scale * alpha * (exp(features) - 1)如果小于0,則為scale * features.與initializer = tf.variance_scaling_initializer(factor=1.0, mode='FAN_IN')一起使用....

http://www.o2fo.com/tensorflow_python/tf_nn_selu.html

2495.TensorFlow函數(shù)教程:tf.nn.softmax

...ogits, axis=None, name=None, dim=None ) 定義在:tensorflow/python/ops/nn_ops.py。計算softmax激活。(棄用的參數(shù))有些參數(shù)已被棄用。它們將在將來的版本中刪除。更新說明:不推薦使用dim,而是使用axis。此函數(shù)執(zhí)行相當(dāng)于:softmax = t...

http://www.o2fo.com/tensorflow_python/tf_nn_softmax.html

2496.TensorFlow函數(shù)教程:tf.nn.softsign

...nn.softsign( features, name=None ) 在生成的文件:tensorflow/python/ops/gen_nn_ops.py中定義。計算softsign : features / (abs(features) + 1) 參數(shù): features:一個Tensor。必須是下列類型之一:half,bfloat16,float32,float64。 name:操作的名稱(可...

http://www.o2fo.com/tensorflow_python/tf_nn_softsign.html

2497.TensorFlow函數(shù)教程:tf.nn.sufficient_statistics

... shift=None, keep_dims=False, name=None ) 定義在:tensorflow/python/ops/nn_impl.py。計算x的均值和方差的完全統(tǒng)計量。這些完全統(tǒng)計量是使用可選擇移動的輸入上的一個傳遞算法計算的。您可以參閱:https://en.wikipedia.org/wiki/Algorithms_for_ca...

http://www.o2fo.com/tensorflow_python/tf_nn_sufficient_statistics.html

2498.TensorFlow函數(shù)教程:tf.nn.weighted_moments

...uency_weights, name=None, keep_dims=False ) 定義在:tensorflow/python/ops/nn_impl.py。返回x的頻率加權(quán)平均值和方差。 參數(shù): x:一個Tensor。 axes:值類型為int32的1-d張量;這些是計算均值和方差的軸。 frequency_weights:可以用x廣播...

http://www.o2fo.com/tensorflow_python/tf_nn_weighted_moments.html

2499.TensorFlow函數(shù)教程:tf.nn.xw_plus_b

..._b( x, weights, biases, name=None ) 定義在:tensorflow/python/ops/nn_ops.py。計算matmul(x, weights) + biases。 參數(shù): x:2D Tensor。維度通常為:batch,in_units weights:2D Tensor。維度通常為:in_units,out_units biases:1D Tensor。維度為...

http://www.o2fo.com/tensorflow_python/tf_nn_xw_plus_b.html

2500.TensorFlow函數(shù)教程:tf.profiler.advise

...un_meta=None, options=_DEFAULT_ADVISE_OPTIONS ) 定義在:tensorflow/python/profiler/model_analyzer.py。自動配置文件和建議。構(gòu)建配置文件并自動檢查各個方面的異常情況。有關(guān)更多詳細信息,請訪問:https://github.com/tensorflow/tensorflow/tree/master/tens...

http://www.o2fo.com/tensorflow_python/tf_profiler_advise.html

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2491.TensorFlow函數(shù)教程:tf.nn.normalize_moments

...ts( counts, mean_ss, variance_ss, shift, name=None )定義在:tensorflow/python/ops/nn_impl.py.請參閱指南:神經(jīng)網(wǎng)絡(luò)>規(guī)范化根據(jù)足夠的統(tǒng)計數(shù)據(jù)計算均值和方差.參數(shù): counts:一個Tensor,包含數(shù)據(jù)的總計數(shù)(一個值). mean_ss:一個Tensor,包含均值...

http://www.o2fo.com/tensorflow_python/tf_nn_normalize_moments.html

2492.TensorFlow函數(shù)教程:tf.nn.relu6

tf.nn.relu6函數(shù)tf.nn.relu6( features, name=None )定義在:tensorflow/python/ops/nn_ops.py.請參閱指南:層(contrib)>用于建立神經(jīng)網(wǎng)絡(luò)層的高級操作,神經(jīng)網(wǎng)絡(luò)>激活函數(shù)計算校正線性6:min(max(features, 0), 6).參數(shù): features:一個Tensor,類型為float,d...

http://www.o2fo.com/tensorflow_python/tf_nn_relu6.html

2493.TensorFlow函數(shù)教程:tf.nn.relu_layer

...數(shù)tf.nn.relu_layer( x, weights, biases, name=None )定義在:tensorflow/python/ops/nn_impl.py.計算Relu(x * weight + biases).參數(shù): x:2D張量.維度通常為:batch,in_units weights:2D張量.維度通常為:in_units,out_units biases:1D張量.維度為:out_units name:...

http://www.o2fo.com/tensorflow_python/tensorflow_python-l7i3300n.html

2494.TensorFlow函數(shù)教程:tf.nn.selu

...lu( features, name=None ) 在生成的文件中定義:tensorflow/python/ops/gen_nn_ops.py.計算縮放指數(shù)線性: scale * alpha * (exp(features) - 1)如果小于0,則為scale * features.與initializer = tf.variance_scaling_initializer(factor=1.0, mode='FAN_IN')一起使用....

http://www.o2fo.com/tensorflow_python/tf_nn_selu.html

2495.TensorFlow函數(shù)教程:tf.nn.softmax

...ogits, axis=None, name=None, dim=None ) 定義在:tensorflow/python/ops/nn_ops.py。計算softmax激活。(棄用的參數(shù))有些參數(shù)已被棄用。它們將在將來的版本中刪除。更新說明:不推薦使用dim,而是使用axis。此函數(shù)執(zhí)行相當(dāng)于:softmax = t...

http://www.o2fo.com/tensorflow_python/tf_nn_softmax.html

2496.TensorFlow函數(shù)教程:tf.nn.softsign

...nn.softsign( features, name=None ) 在生成的文件:tensorflow/python/ops/gen_nn_ops.py中定義。計算softsign : features / (abs(features) + 1) 參數(shù): features:一個Tensor。必須是下列類型之一:half,bfloat16,float32,float64。 name:操作的名稱(可...

http://www.o2fo.com/tensorflow_python/tf_nn_softsign.html

2497.TensorFlow函數(shù)教程:tf.nn.sufficient_statistics

... shift=None, keep_dims=False, name=None ) 定義在:tensorflow/python/ops/nn_impl.py。計算x的均值和方差的完全統(tǒng)計量。這些完全統(tǒng)計量是使用可選擇移動的輸入上的一個傳遞算法計算的。您可以參閱:https://en.wikipedia.org/wiki/Algorithms_for_ca...

http://www.o2fo.com/tensorflow_python/tf_nn_sufficient_statistics.html

2498.TensorFlow函數(shù)教程:tf.nn.weighted_moments

...uency_weights, name=None, keep_dims=False ) 定義在:tensorflow/python/ops/nn_impl.py。返回x的頻率加權(quán)平均值和方差。 參數(shù): x:一個Tensor。 axes:值類型為int32的1-d張量;這些是計算均值和方差的軸。 frequency_weights:可以用x廣播...

http://www.o2fo.com/tensorflow_python/tf_nn_weighted_moments.html

2499.TensorFlow函數(shù)教程:tf.nn.xw_plus_b

..._b( x, weights, biases, name=None ) 定義在:tensorflow/python/ops/nn_ops.py。計算matmul(x, weights) + biases。 參數(shù): x:2D Tensor。維度通常為:batch,in_units weights:2D Tensor。維度通常為:in_units,out_units biases:1D Tensor。維度為...

http://www.o2fo.com/tensorflow_python/tf_nn_xw_plus_b.html

2500.TensorFlow函數(shù)教程:tf.profiler.advise

...un_meta=None, options=_DEFAULT_ADVISE_OPTIONS ) 定義在:tensorflow/python/profiler/model_analyzer.py。自動配置文件和建議。構(gòu)建配置文件并自動檢查各個方面的異常情況。有關(guān)更多詳細信息,請訪問:https://github.com/tensorflow/tensorflow/tree/master/tens...

http://www.o2fo.com/tensorflow_python/tf_profiler_advise.html

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