tf.scalar_mul 函數(shù)scalar_mul( scalar, x )定義在：tensorflow/python/ops/math_ops.py.請(qǐng)參閱指南：數(shù)學(xué)函數(shù)>算術(shù)運(yùn)算符將標(biāo)量乘以一個(gè)張量(Tensor)或 IndexedSlices 對(duì)象.用于可能處理IndexedSlices對(duì)象的梯度代碼,這些對(duì)象很容易乘以標(biāo)量,但是與任意...
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http://m.o2fo.com/yearning/yearning-fijo2jdc.html... tensor, name=None ) 定義在：TensorFlow線性代數(shù)運(yùn)算：tensorflow/python/ops/linalg_ops.py. 請(qǐng)參閱指南：數(shù)學(xué)函數(shù)>矩陣數(shù)學(xué)函數(shù) 計(jì)算一批自自共軛矩陣的特征分解. 計(jì)算tensor(例如：tensor[...,:,:] * v[..., :,i] = e[..., i] * v[...,:,i],其中 i=0...N-1)中...
http://m.o2fo.com/tensorflow_python/tensorflow_python-hxnm2jlw.html...sk( lengths, maxlen=None, dtype=tf.bool, name=None )定義在：tensorflow/python/ops/array_ops.py.參見(jiàn)指南：張量變換>分割和連接返回一個(gè)表示每個(gè)單元的前N個(gè)位置的mask張量.如果lengths的形狀為[d_1, d_2, ..., d_n],由此產(chǎn)生的張量mask有dtype類型和形狀[...
http://m.o2fo.com/tensorflow_python/tensorflow_python-2elp2jns.html...e 函數(shù)serialize_many_sparse( sp_input, name=None )定義在：tensorflow/python/ops/sparse_ops.py.將一個(gè)N-minibatch SparseTensor序列化為一個(gè)[N, 3]字符串Tensor.SparseTensor必須具有秩R大于1,并且所述第一維度被視為minibatch維度.必須按照第一個(gè)維度的遞增順序...
http://m.o2fo.com/tensorflow_python/tensorflow_python-f8a12jnu.html...sparse 函數(shù)serialize_sparse( sp_input, name=None )定義在：tensorflow/python/ops/sparse_ops.py.將 SparseTensor 序列化為類型為字符串的3-vector (1維Tensor) 對(duì)象.函數(shù)參數(shù)sp_input：輸入SparseTensor.name：返回張量的名稱前綴(可選).函數(shù)返回值tf.serialize_sparse...
http://m.o2fo.com/tensorflow_python/tensorflow_python-pfeh2jpx.html...e 函數(shù)shape( input, name=None, out_type=tf.int32 )定義在：tensorflow/python/ops/array_ops.py.參見(jiàn)指南：張量變換>形狀的確定與改變返回某個(gè)張量的形狀.此操作返回表示input形狀的一維整數(shù)張量.例如：t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4...
http://m.o2fo.com/tensorflow_python/tensorflow_python-qais2k0z.html... tf.nn.sigmoid tf.sigmoid sigmoid( x, name=None ) 定義在：tensorflow/python/ops/math_ops.py. 請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>激活函數(shù) 計(jì)算 x 元素的sigmoid. 具體來(lái)說(shuō),就是：y = 1/(1 + exp (-x)). 函數(shù)參數(shù) x：一個(gè)Tensor,具有以下的類型：float16、float32、float64、c...
http://m.o2fo.com/tensorflow_python/tensorflow_python-d46p2k47.htmltf.sign 函數(shù)sign( x, name=None )定義在：tensorflow/python/ops/math_ops.py.請(qǐng)參閱指南：數(shù)學(xué)函數(shù)>基本數(shù)學(xué)函數(shù)返回一個(gè)數(shù)字符號(hào)的元素指示.如果x < 0,則有 y = sign(x) = -1；如果x == 0,則有 0 或者tf.is_nan(x)；如果x > 0,則有1.對(duì)于NaN輸入返回...
http://m.o2fo.com/tensorflow_python/tensorflow_python-i5vr2k6r.html...ze 函數(shù)size( input, name=None, out_type=tf.int32 )定義在：tensorflow/python/ops/array_ops.py.參見(jiàn)指南：張量變換>形狀的確定與改變返回張量的大小.此操作返回一個(gè)表示input中的元素?cái)?shù)的整數(shù).例如：t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4...
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tf.scalar_mul 函數(shù)scalar_mul( scalar, x )定義在：tensorflow/python/ops/math_ops.py.請(qǐng)參閱指南：數(shù)學(xué)函數(shù)>算術(shù)運(yùn)算符將標(biāo)量乘以一個(gè)張量(Tensor)或 IndexedSlices 對(duì)象.用于可能處理IndexedSlices對(duì)象的梯度代碼,這些對(duì)象很容易乘以標(biāo)量,但是與任意...
http://m.o2fo.com/tensorflow_python/tensorflow_python-b18q2j1n.html...-2.8.0-brightgreen.svg?style=flat-square)  ##簡(jiǎn)介 Yearning SQL 審計(jì)平臺(tái) 基于Vue.js與Django的整套sql審核平臺(tái)解決方案。 提供基于Inception的SQL檢測(cè)及執(zhí)...
http://m.o2fo.com/yearning/yearning-fijo2jdc.html... tensor, name=None ) 定義在：TensorFlow線性代數(shù)運(yùn)算：tensorflow/python/ops/linalg_ops.py. 請(qǐng)參閱指南：數(shù)學(xué)函數(shù)>矩陣數(shù)學(xué)函數(shù) 計(jì)算一批自自共軛矩陣的特征分解. 計(jì)算tensor(例如：tensor[...,:,:] * v[..., :,i] = e[..., i] * v[...,:,i],其中 i=0...N-1)中...
http://m.o2fo.com/tensorflow_python/tensorflow_python-hxnm2jlw.html...sk( lengths, maxlen=None, dtype=tf.bool, name=None )定義在：tensorflow/python/ops/array_ops.py.參見(jiàn)指南：張量變換>分割和連接返回一個(gè)表示每個(gè)單元的前N個(gè)位置的mask張量.如果lengths的形狀為[d_1, d_2, ..., d_n],由此產(chǎn)生的張量mask有dtype類型和形狀[...
http://m.o2fo.com/tensorflow_python/tensorflow_python-2elp2jns.html...e 函數(shù)serialize_many_sparse( sp_input, name=None )定義在：tensorflow/python/ops/sparse_ops.py.將一個(gè)N-minibatch SparseTensor序列化為一個(gè)[N, 3]字符串Tensor.SparseTensor必須具有秩R大于1,并且所述第一維度被視為minibatch維度.必須按照第一個(gè)維度的遞增順序...
http://m.o2fo.com/tensorflow_python/tensorflow_python-f8a12jnu.html...sparse 函數(shù)serialize_sparse( sp_input, name=None )定義在：tensorflow/python/ops/sparse_ops.py.將 SparseTensor 序列化為類型為字符串的3-vector (1維Tensor) 對(duì)象.函數(shù)參數(shù)sp_input：輸入SparseTensor.name：返回張量的名稱前綴(可選).函數(shù)返回值tf.serialize_sparse...
http://m.o2fo.com/tensorflow_python/tensorflow_python-pfeh2jpx.html...e 函數(shù)shape( input, name=None, out_type=tf.int32 )定義在：tensorflow/python/ops/array_ops.py.參見(jiàn)指南：張量變換>形狀的確定與改變返回某個(gè)張量的形狀.此操作返回表示input形狀的一維整數(shù)張量.例如：t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4...
http://m.o2fo.com/tensorflow_python/tensorflow_python-qais2k0z.html... tf.nn.sigmoid tf.sigmoid sigmoid( x, name=None ) 定義在：tensorflow/python/ops/math_ops.py. 請(qǐng)參閱指南：神經(jīng)網(wǎng)絡(luò)>激活函數(shù) 計(jì)算 x 元素的sigmoid. 具體來(lái)說(shuō),就是：y = 1/(1 + exp (-x)). 函數(shù)參數(shù) x：一個(gè)Tensor,具有以下的類型：float16、float32、float64、c...
http://m.o2fo.com/tensorflow_python/tensorflow_python-d46p2k47.htmltf.sign 函數(shù)sign( x, name=None )定義在：tensorflow/python/ops/math_ops.py.請(qǐng)參閱指南：數(shù)學(xué)函數(shù)>基本數(shù)學(xué)函數(shù)返回一個(gè)數(shù)字符號(hào)的元素指示.如果x < 0,則有 y = sign(x) = -1；如果x == 0,則有 0 或者tf.is_nan(x)；如果x > 0,則有1.對(duì)于NaN輸入返回...
http://m.o2fo.com/tensorflow_python/tensorflow_python-i5vr2k6r.html...ze 函數(shù)size( input, name=None, out_type=tf.int32 )定義在：tensorflow/python/ops/array_ops.py.參見(jiàn)指南：張量變換>形狀的確定與改變返回張量的大小.此操作返回一個(gè)表示input中的元素?cái)?shù)的整數(shù).例如：t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4...
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