tensorflow API:tf.nn.l2_loss - Code World

tensorflow API:tf.nn.l2_loss

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tensorflow API:tf.nn.l2_loss

TensorFlow L2 в функции регуляризации: tf.nn.l2_loss Использование () и tf.contrib.layers.l2_regularizerd () с сходств и различий

tensorflow API : tf.nn.embedding_lookup

Tensorflow method in tf.nn.conv2d

TensorFlow Basics (seven) - tf.nn.conv2d ()

Tensorflow - tf.nn.embedding_lookup使用

TensorFlow Basics (four) - tf.nn.relu ()

正則化関数でTensorFlow L2：使用tf.nn.l2_loss（）とtf.contrib.layers.l2_regularizerd（）の類似点と相違点を有します

정규화 기능에 TensorFlow L2 : 유사점과 차이점에 사용 tf.nn.l2_loss ()와 tf.contrib.layers.l2_regularizerd ()

tensorflow API: tf.gather

tensorflow API： tf.multiply

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tensorflow API：tf.constant_initializer

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[Tensorflow] sample excitation function tf.nn.relu

TensorFlow Basics (three) - tf.nn.softmax_cross_entropy_with_logits

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[TensorFlow] Usage of tf.nn.softmax_cross_entropy_with_logits

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python tensorflow tf.nn.conv2d () (4-D`input` given tensor and `filter` calculating 2-D convolution)

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