...OSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS ) 定義在:tensorflow/python/ops/losses/losses_impl.py. 在訓(xùn)練過(guò)程中添加絕對(duì)差值loss. weights作為loss的系數(shù).如果提供了標(biāo)量,那么損失只是按給定值進(jìn)行縮放.如果weights是形狀為[batch_size]的Tensor,則批次...
http://m.o2fo.com/tensorflow_python/tensorflow_python-q5rw2wkt.htmltf.losses.add_loss函數(shù)tf.losses.add_loss( loss, loss_collection=tf.GraphKeys.LOSSES ) 定義在:tensorflow/python/ops/losses/util.py. 將外部定義的loss添加到losses的集合中. 參數(shù): loss:一個(gè)表示loss的Tensor. loss_collection:一個(gè)可選的集合以添加loss.
http://m.o2fo.com/tensorflow_python/tensorflow_python-emay2wmr.html...uction=Reduction.SUM_BY_NONZERO_WEIGHTS, dim=None ) 定義在:tensorflow/python/ops/losses/losses_impl.py. 在訓(xùn)練過(guò)程中增加了余弦距離loss.(已否決的參數(shù)) 某些參數(shù)已棄用.它們將在未來(lái)版本中刪除.更新說(shuō)明:不推薦使用dim,而是使用axis 請(qǐng)注意,該函數(shù)...
http://m.o2fo.com/tensorflow_python/tensorflow_python-wuh22wqk.html...( scope=None, loss_collection=tf.GraphKeys.LOSSES ) 定義在:tensorflow/python/ops/losses/util.py. 獲取loss_collection的losses列表. 參數(shù): scope:用于過(guò)濾要返回的losses的可選范圍名稱. loss_collection:可選的losses集合. 返回: loss張量清單.
http://m.o2fo.com/tensorflow_python/tensorflow_python-lvgw2wqn.html...pe=None, name='total_regularization_loss' ) 定義在:tensorflow/python/ops/losses/util.py. 獲取總正則化loss. 參數(shù): scope:用于過(guò)濾要返回的loss的可選范圍名稱. name:返回張量的名稱. 返回: 標(biāo)量正則化loss.
http://m.o2fo.com/tensorflow_python/tensorflow_python-lqif2wtw.htmltf.losses.get_regularization_losses函數(shù)tf.losses.get_regularization_losses(scope=None) 定義在:tensorflow/python/ops/losses/util.py. 獲取正則化loss列表. 參數(shù): scope:用于過(guò)濾要返回的loss的可選范圍名稱. 返回: 作為Tensors的正則化loss列表.
http://m.o2fo.com/tensorflow_python/tensorflow_python-knft2wtx.html...larization_losses=True, name='total_loss' ) 定義在:tensorflow/python/ops/losses/util.py. 返回一個(gè)張量,其值代表總loss. 特別的是,這增加了您使用tf.add_loss()在層構(gòu)造器上通過(guò)正則化參數(shù)添加的任何正則化損失所增加的任何loss,例如,tf.layers....
http://m.o2fo.com/tensorflow_python/tensorflow_python-cz5s2wwd.html...OSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS ) 定義在:tensorflow/python/ops/losses/losses_impl.py. 在訓(xùn)練過(guò)程中增加了hinge loss. 參數(shù): labels:真實(shí)輸出張量,它的形狀應(yīng)該與logits的形狀相匹配;張量的值預(yù)計(jì)為0.0或1.0. logits:logits,一個(gè)浮動(dòng)張量...
http://m.o2fo.com/tensorflow_python/tensorflow_python-tnbj2wyg.htmltf.losses.Reduction函數(shù) 類 Reduction 定義在:tensorflow/python/ops/losses/losses_impl.py. 減少loss的類型. 包含以下值: NONE:與輸入形狀相同的未減少的加權(quán)l(xiāng)oss. SUM:加權(quán)l(xiāng)oss的標(biāo)量和. MEAN:標(biāo)量SUM除以權(quán)重之和. SUM_OVER_BATCH_SIZE:標(biāo)量SUM除以loss...
http://m.o2fo.com/tensorflow_python/tensorflow_python-klgu2xrk.html...olyval函數(shù)tf.math.polyval( coeffs, x, name=None ) 定義在:tensorflow/python/ops/math_ops.py. 計(jì)算多項(xiàng)式的元素值. 如果x是張量,并且coeffs是列表n + 1個(gè)張量,則此函數(shù)返回n階多項(xiàng)式的值p(x) = coeffs[n-1] + coeffs[n-2] * x + ... + coeffs[0] * x**(n-1) 使用Horner方...
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...OSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS ) 定義在:tensorflow/python/ops/losses/losses_impl.py. 在訓(xùn)練過(guò)程中添加絕對(duì)差值loss. weights作為loss的系數(shù).如果提供了標(biāo)量,那么損失只是按給定值進(jìn)行縮放.如果weights是形狀為[batch_size]的Tensor,則批次...
http://m.o2fo.com/tensorflow_python/tensorflow_python-q5rw2wkt.htmltf.losses.add_loss函數(shù)tf.losses.add_loss( loss, loss_collection=tf.GraphKeys.LOSSES ) 定義在:tensorflow/python/ops/losses/util.py. 將外部定義的loss添加到losses的集合中. 參數(shù): loss:一個(gè)表示loss的Tensor. loss_collection:一個(gè)可選的集合以添加loss.
http://m.o2fo.com/tensorflow_python/tensorflow_python-emay2wmr.html...uction=Reduction.SUM_BY_NONZERO_WEIGHTS, dim=None ) 定義在:tensorflow/python/ops/losses/losses_impl.py. 在訓(xùn)練過(guò)程中增加了余弦距離loss.(已否決的參數(shù)) 某些參數(shù)已棄用.它們將在未來(lái)版本中刪除.更新說(shuō)明:不推薦使用dim,而是使用axis 請(qǐng)注意,該函數(shù)...
http://m.o2fo.com/tensorflow_python/tensorflow_python-wuh22wqk.html...( scope=None, loss_collection=tf.GraphKeys.LOSSES ) 定義在:tensorflow/python/ops/losses/util.py. 獲取loss_collection的losses列表. 參數(shù): scope:用于過(guò)濾要返回的losses的可選范圍名稱. loss_collection:可選的losses集合. 返回: loss張量清單.
http://m.o2fo.com/tensorflow_python/tensorflow_python-lvgw2wqn.html...pe=None, name='total_regularization_loss' ) 定義在:tensorflow/python/ops/losses/util.py. 獲取總正則化loss. 參數(shù): scope:用于過(guò)濾要返回的loss的可選范圍名稱. name:返回張量的名稱. 返回: 標(biāo)量正則化loss.
http://m.o2fo.com/tensorflow_python/tensorflow_python-lqif2wtw.htmltf.losses.get_regularization_losses函數(shù)tf.losses.get_regularization_losses(scope=None) 定義在:tensorflow/python/ops/losses/util.py. 獲取正則化loss列表. 參數(shù): scope:用于過(guò)濾要返回的loss的可選范圍名稱. 返回: 作為Tensors的正則化loss列表.
http://m.o2fo.com/tensorflow_python/tensorflow_python-knft2wtx.html...larization_losses=True, name='total_loss' ) 定義在:tensorflow/python/ops/losses/util.py. 返回一個(gè)張量,其值代表總loss. 特別的是,這增加了您使用tf.add_loss()在層構(gòu)造器上通過(guò)正則化參數(shù)添加的任何正則化損失所增加的任何loss,例如,tf.layers....
http://m.o2fo.com/tensorflow_python/tensorflow_python-cz5s2wwd.html...OSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS ) 定義在:tensorflow/python/ops/losses/losses_impl.py. 在訓(xùn)練過(guò)程中增加了hinge loss. 參數(shù): labels:真實(shí)輸出張量,它的形狀應(yīng)該與logits的形狀相匹配;張量的值預(yù)計(jì)為0.0或1.0. logits:logits,一個(gè)浮動(dòng)張量...
http://m.o2fo.com/tensorflow_python/tensorflow_python-tnbj2wyg.htmltf.losses.Reduction函數(shù) 類 Reduction 定義在:tensorflow/python/ops/losses/losses_impl.py. 減少loss的類型. 包含以下值: NONE:與輸入形狀相同的未減少的加權(quán)l(xiāng)oss. SUM:加權(quán)l(xiāng)oss的標(biāo)量和. MEAN:標(biāo)量SUM除以權(quán)重之和. SUM_OVER_BATCH_SIZE:標(biāo)量SUM除以loss...
http://m.o2fo.com/tensorflow_python/tensorflow_python-klgu2xrk.html...olyval函數(shù)tf.math.polyval( coeffs, x, name=None ) 定義在:tensorflow/python/ops/math_ops.py. 計(jì)算多項(xiàng)式的元素值. 如果x是張量,并且coeffs是列表n + 1個(gè)張量,則此函數(shù)返回n階多項(xiàng)式的值p(x) = coeffs[n-1] + coeffs[n-2] * x + ... + coeffs[0] * x**(n-1) 使用Horner方...
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