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大約有 4,000 項(xiàng)符合查詢結(jié)果 ，庫(kù)內(nèi)數(shù)據(jù)總量為 78,409 項(xiàng)。（搜索耗時(shí)：0.0086秒）

2451.TensorFlow函數(shù)：tf.layers.average_pooling2d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py 2D輸入的平均池層(例如圖像). 參數(shù)： inputs：要在池上的張量,它的秩必須為4. pool_size：2個(gè)整數(shù)的整數(shù)或元組/列表：(pool_height,pool_width),指定池窗口的大小...

http://m.o2fo.com/tensorflow_python/tensorflow_python-n5g92sn2.html

2452.TensorFlow函數(shù)：tf.layers.average_pooling3d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 3D輸入的平均池層(例如卷). 參數(shù)： inputs：要在池上的張量,它的秩必須為5. pool_size：3個(gè)整數(shù)的整數(shù)或元組/列表：(pool_depth,pool_height,pool_width),用于指定池...

http://m.o2fo.com/tensorflow_python/tensorflow_python-6ftn2ssw.html

2453.TensorFlow函數(shù)：tf.layers.InputSpec

...類 tf.keras.layers.InputSpec類 tf.layers.InputSpec定義在：tensorflow/python/layers/base.py.指定圖層的每個(gè)輸入的ndim,dtype和形狀.每個(gè)層都應(yīng)公開(如果適用)一個(gè)input_spec屬性：InputSpec的實(shí)例列表(每個(gè)輸入張量一個(gè)).形狀中的“None”條目與任何維...

http://m.o2fo.com/tensorflow_python/tensorflow_python-yq9h2tcv.html

2454.TensorFlow函數(shù)：tf.layers.max_pooling1d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 1D輸入的最大池化層. 參數(shù)： inputs：池的張量,秩必須為3. pool_size：?jiǎn)蝹€(gè)整數(shù)的整數(shù)或元組/列表,表示池化窗口的大小. strides：?jiǎn)蝹€(gè)整數(shù)的整數(shù)或元組/列...

http://m.o2fo.com/tensorflow_python/tensorflow_python-skct2u4z.html

2455.TensorFlow函數(shù)：tf.layers.max_pooling2d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 用于2D輸入的最大池化層(例如圖像). 參數(shù)： inputs：池的張量,秩必須為4. pool_size：2個(gè)整數(shù)的整數(shù)或元組/列表：(pool_height,pool_width),用于指定池窗口的大...

http://m.o2fo.com/tensorflow_python/tensorflow_python-j4ni2u54.html

2456.TensorFlow函數(shù)：tf.layers.max_pooling3d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 用于3D輸入的最大池化層(例如,體積). 參數(shù)： inputs：池的張量,秩必須為5. pool_size：3個(gè)整數(shù)的整數(shù)或元組/列表：(pool_depth,pool_height,pool_width),用于指定池...

http://m.o2fo.com/tensorflow_python/tensorflow_python-6hbw2u9w.html

2457.TensorFlow函數(shù)：tf.linalg.logdet

...g.logdet函數(shù)tf.linalg.logdet( matrix, name=None ) 定義在：tensorflow/python/ops/linalg/linalg_impl.py. 計(jì)算hermitian正定矩陣的行列式的對(duì)數(shù).# Compute the determinant of a matrix while reducing the chance of over- or underflow: A = ... # shape 10 x 10 det = tf.exp(tf.logdet(A)) # s...

http://m.o2fo.com/tensorflow_python/tensorflow_python-ljeo2vkt.html

2458.TensorFlow函數(shù)：tf.logging.debug

tf.logging.debug函數(shù)tf.logging.debug( msg, *args, **kwargs )定義在：tensorflow/python/platform/tf_logging.py.通過logging.debug可以記錄NOTSET = 0的級(jí)別的錯(cuò)誤.

http://m.o2fo.com/tensorflow_python/tensorflow_python-18li2w8a.html

2459.TensorFlow函數(shù)：tf.logging.error

tf.logging.error函數(shù)tf.logging.error( msg, *args, **kwargs )定義在：tensorflow/python/platform/tf_logging.py

http://m.o2fo.com/tensorflow_python/tensorflow_python-su1d2w8b.html

2460.TensorFlow函數(shù)：tf.logging.fatal

tf.logging.fatal函數(shù)tf.logging.fatal( msg, *args, **kwargs )定義在：tensorflow/python/platform/tf_logging.py

http://m.o2fo.com/tensorflow_python/tensorflow_python-djo72w8c.html

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2451.TensorFlow函數(shù)：tf.layers.average_pooling2d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py 2D輸入的平均池層(例如圖像). 參數(shù)： inputs：要在池上的張量,它的秩必須為4. pool_size：2個(gè)整數(shù)的整數(shù)或元組/列表：(pool_height,pool_width),指定池窗口的大小...

http://m.o2fo.com/tensorflow_python/tensorflow_python-n5g92sn2.html

2452.TensorFlow函數(shù)：tf.layers.average_pooling3d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 3D輸入的平均池層(例如卷). 參數(shù)： inputs：要在池上的張量,它的秩必須為5. pool_size：3個(gè)整數(shù)的整數(shù)或元組/列表：(pool_depth,pool_height,pool_width),用于指定池...

http://m.o2fo.com/tensorflow_python/tensorflow_python-6ftn2ssw.html

2453.TensorFlow函數(shù)：tf.layers.InputSpec

...類 tf.keras.layers.InputSpec類 tf.layers.InputSpec定義在：tensorflow/python/layers/base.py.指定圖層的每個(gè)輸入的ndim,dtype和形狀.每個(gè)層都應(yīng)公開(如果適用)一個(gè)input_spec屬性：InputSpec的實(shí)例列表(每個(gè)輸入張量一個(gè)).形狀中的“None”條目與任何維...

http://m.o2fo.com/tensorflow_python/tensorflow_python-yq9h2tcv.html

2454.TensorFlow函數(shù)：tf.layers.max_pooling1d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 1D輸入的最大池化層. 參數(shù)： inputs：池的張量,秩必須為3. pool_size：?jiǎn)蝹€(gè)整數(shù)的整數(shù)或元組/列表,表示池化窗口的大小. strides：?jiǎn)蝹€(gè)整數(shù)的整數(shù)或元組/列...

http://m.o2fo.com/tensorflow_python/tensorflow_python-skct2u4z.html

2455.TensorFlow函數(shù)：tf.layers.max_pooling2d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 用于2D輸入的最大池化層(例如圖像). 參數(shù)： inputs：池的張量,秩必須為4. pool_size：2個(gè)整數(shù)的整數(shù)或元組/列表：(pool_height,pool_width),用于指定池窗口的大...

http://m.o2fo.com/tensorflow_python/tensorflow_python-j4ni2u54.html

2456.TensorFlow函數(shù)：tf.layers.max_pooling3d

...;, data_format='channels_last', name=None ) 定義在：tensorflow/python/layers/pooling.py. 用于3D輸入的最大池化層(例如,體積). 參數(shù)： inputs：池的張量,秩必須為5. pool_size：3個(gè)整數(shù)的整數(shù)或元組/列表：(pool_depth,pool_height,pool_width),用于指定池...

http://m.o2fo.com/tensorflow_python/tensorflow_python-6hbw2u9w.html

2457.TensorFlow函數(shù)：tf.linalg.logdet

...g.logdet函數(shù)tf.linalg.logdet( matrix, name=None ) 定義在：tensorflow/python/ops/linalg/linalg_impl.py. 計(jì)算hermitian正定矩陣的行列式的對(duì)數(shù).# Compute the determinant of a matrix while reducing the chance of over- or underflow: A = ... # shape 10 x 10 det = tf.exp(tf.logdet(A)) # s...

http://m.o2fo.com/tensorflow_python/tensorflow_python-ljeo2vkt.html

2458.TensorFlow函數(shù)：tf.logging.debug

tf.logging.debug函數(shù)tf.logging.debug( msg, *args, **kwargs )定義在：tensorflow/python/platform/tf_logging.py.通過logging.debug可以記錄NOTSET = 0的級(jí)別的錯(cuò)誤.

http://m.o2fo.com/tensorflow_python/tensorflow_python-18li2w8a.html

2459.TensorFlow函數(shù)：tf.logging.error

tf.logging.error函數(shù)tf.logging.error( msg, *args, **kwargs )定義在：tensorflow/python/platform/tf_logging.py

http://m.o2fo.com/tensorflow_python/tensorflow_python-su1d2w8b.html

2460.TensorFlow函數(shù)：tf.logging.fatal

tf.logging.fatal函數(shù)tf.logging.fatal( msg, *args, **kwargs )定義在：tensorflow/python/platform/tf_logging.py

http://m.o2fo.com/tensorflow_python/tensorflow_python-djo72w8c.html

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