...tf.nn.in_top_k( predictions, targets, k, name=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>評(píng)估說明目標(biāo)是否在前K個(gè)預(yù)測中.這輸出了一個(gè)batch_size bool數(shù)組,如果目標(biāo)類的預(yù)測是所有預(yù)測(例如i)中的前k個(gè)預(yù)測,則條目out[i]為...
http://m.o2fo.com/tensorflow_python/tf_nn_in_top_k.html...( x, axis=None, epsilon=1e-12, name=None, dim=None )定義在：tensorflow/python/ops/nn_impl.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>規(guī)范化使用L2范數(shù)沿維度axis規(guī)范化.(不贊成使用的參數(shù)) 一些參數(shù)已被棄用.它們將在未來版本中刪除.更新說明：不推薦使用dim,...
http://m.o2fo.com/tensorflow_python/tf_nn_l2_normalize.html...tf.nn.leaky_relu( features, alpha=0.2, name=None )定義在：tensorflow/python/ops/nn_ops.py.計(jì)算Leaky ReLU激活函數(shù).參數(shù)： features：一個(gè)Tensor,表示預(yù)激活值,必須是下列類型之一：float16,float32,float64,int32,int64. alpha：x <0時(shí)激活函數(shù)的斜率. name：...
http://m.o2fo.com/tensorflow_python/tf_nn_leaky_relu.html...og_softmax( logits, axis=None, name=None, dim=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>分類操作計(jì)算log softmax激活.(不贊成使用) 一些參數(shù)已被棄用.它們將在未來版本中刪除.更新說明：不推薦使用dim,而是使用axis對(duì)...
http://m.o2fo.com/tensorflow_python/tf_nn_log_softmax.html...es, padding, data_format='NHWC', name=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>池操作在輸入上執(zhí)行最大池化.參數(shù)： value：由data_format指定格式的4-D Tensor. ksize：具有4個(gè)元素的1-D整數(shù)Tensor.輸入張量的每個(gè)...
http://m.o2fo.com/tensorflow_python/tf_nn_max_pool.html...s( x, axes, shift=None, name=None, keep_dims=False )定義在：tensorflow/python/ops/nn_impl.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>規(guī)范化計(jì)算x的均值和方差.通過在axes上聚合x的內(nèi)容來計(jì)算均值和方差.如果x是1-D,且axes = [0],這只是矢量的均值和方差.注意：目前...
http://m.o2fo.com/tensorflow_python/tf_nn_moments.html...ts( counts, mean_ss, variance_ss, shift, name=None )定義在：tensorflow/python/ops/nn_impl.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>規(guī)范化根據(jù)足夠的統(tǒng)計(jì)數(shù)據(jù)計(jì)算均值和方差.參數(shù)： counts：一個(gè)Tensor,包含數(shù)據(jù)的總計(jì)數(shù)(一個(gè)值). mean_ss：一個(gè)Tensor,包含均值...
http://m.o2fo.com/tensorflow_python/tf_nn_normalize_moments.htmltf.nn.relu6函數(shù)tf.nn.relu6( features, name=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：層(contrib)>用于建立神經(jīng)網(wǎng)絡(luò)層的高級(jí)操作,神經(jīng)網(wǎng)絡(luò)>激活函數(shù)計(jì)算校正線性6：min(max(features, 0), 6).參數(shù)： features：一個(gè)Tensor,類型為float,d...
http://m.o2fo.com/tensorflow_python/tf_nn_relu6.html...數(shù)tf.nn.relu_layer( x, weights, biases, name=None )定義在：tensorflow/python/ops/nn_impl.py.計(jì)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://m.o2fo.com/tensorflow_python/tensorflow_python-l7i3300n.html...lu( features, name=None ) 在生成的文件中定義：tensorflow/python/ops/gen_nn_ops.py.計(jì)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....
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...tf.nn.in_top_k( predictions, targets, k, name=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>評(píng)估說明目標(biāo)是否在前K個(gè)預(yù)測中.這輸出了一個(gè)batch_size bool數(shù)組,如果目標(biāo)類的預(yù)測是所有預(yù)測(例如i)中的前k個(gè)預(yù)測,則條目out[i]為...
http://m.o2fo.com/tensorflow_python/tf_nn_in_top_k.html...( x, axis=None, epsilon=1e-12, name=None, dim=None )定義在：tensorflow/python/ops/nn_impl.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>規(guī)范化使用L2范數(shù)沿維度axis規(guī)范化.(不贊成使用的參數(shù)) 一些參數(shù)已被棄用.它們將在未來版本中刪除.更新說明：不推薦使用dim,...
http://m.o2fo.com/tensorflow_python/tf_nn_l2_normalize.html...tf.nn.leaky_relu( features, alpha=0.2, name=None )定義在：tensorflow/python/ops/nn_ops.py.計(jì)算Leaky ReLU激活函數(shù).參數(shù)： features：一個(gè)Tensor,表示預(yù)激活值,必須是下列類型之一：float16,float32,float64,int32,int64. alpha：x <0時(shí)激活函數(shù)的斜率. name：...
http://m.o2fo.com/tensorflow_python/tf_nn_leaky_relu.html...og_softmax( logits, axis=None, name=None, dim=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>分類操作計(jì)算log softmax激活.(不贊成使用) 一些參數(shù)已被棄用.它們將在未來版本中刪除.更新說明：不推薦使用dim,而是使用axis對(duì)...
http://m.o2fo.com/tensorflow_python/tf_nn_log_softmax.html...es, padding, data_format='NHWC', name=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>池操作在輸入上執(zhí)行最大池化.參數(shù)： value：由data_format指定格式的4-D Tensor. ksize：具有4個(gè)元素的1-D整數(shù)Tensor.輸入張量的每個(gè)...
http://m.o2fo.com/tensorflow_python/tf_nn_max_pool.html...s( x, axes, shift=None, name=None, keep_dims=False )定義在：tensorflow/python/ops/nn_impl.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>規(guī)范化計(jì)算x的均值和方差.通過在axes上聚合x的內(nèi)容來計(jì)算均值和方差.如果x是1-D,且axes = [0],這只是矢量的均值和方差.注意：目前...
http://m.o2fo.com/tensorflow_python/tf_nn_moments.html...ts( counts, mean_ss, variance_ss, shift, name=None )定義在：tensorflow/python/ops/nn_impl.py.請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>規(guī)范化根據(jù)足夠的統(tǒng)計(jì)數(shù)據(jù)計(jì)算均值和方差.參數(shù)： counts：一個(gè)Tensor,包含數(shù)據(jù)的總計(jì)數(shù)(一個(gè)值). mean_ss：一個(gè)Tensor,包含均值...
http://m.o2fo.com/tensorflow_python/tf_nn_normalize_moments.htmltf.nn.relu6函數(shù)tf.nn.relu6( features, name=None )定義在：tensorflow/python/ops/nn_ops.py.請(qǐng)參閱指南：層(contrib)>用于建立神經(jīng)網(wǎng)絡(luò)層的高級(jí)操作,神經(jīng)網(wǎng)絡(luò)>激活函數(shù)計(jì)算校正線性6：min(max(features, 0), 6).參數(shù)： features：一個(gè)Tensor,類型為float,d...
http://m.o2fo.com/tensorflow_python/tf_nn_relu6.html...數(shù)tf.nn.relu_layer( x, weights, biases, name=None )定義在：tensorflow/python/ops/nn_impl.py.計(jì)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://m.o2fo.com/tensorflow_python/tensorflow_python-l7i3300n.html...lu( features, name=None ) 在生成的文件中定義：tensorflow/python/ops/gen_nn_ops.py.計(jì)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....
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