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batch normalization
Definition
Translation of "batch normalization" in Chinese
Definition NEW
批量归一化
批归
批处理标准化
Like a dropout layer, batch normalization layers have different computation results in training mode and prediction mode.
批量归一化层和丢弃层一样，在训练模式和预测模式的计算结果是不一样的。
Can we remove the fully connected affine transformation before the batch normalization or the bias parameter in convolution computation?
我们能否将批量归一化前的全连接仿射变换或卷积计算中的偏差参数去掉？为什么？（提示：回忆批量归一化中标准化的定义。）
These correspond to batch normalization layers, which are representationally identical to their previous layers.
这些块对应于批归一化层，与先前的层在表示上是相同的。
Depth refers to the topological depth of the network. This includes activation layers, batch normalization layers etc.
Depth 表示网络的拓扑深度。这包括激活层，批标准化层等。
In the batch mode the recommended maximum level of batch normalization of the list of processing without clipping is the optimum level of normalization eliminating clipping and providing maximum quality of a sound, calculated for a current list of processing. Batch Test
在批量模式处理，而最好建议水平正常化的不裁剪列表 - 是正常化的最佳水平消除裁剪并提供最佳音质，这是对于当前列表处理计算。 批测试
These sets of optimizations ensure that all the key deep learning primitives, such as convolution, matrix multiplication, batch normalization, etc. are efficiently vectorized to the latest SIMD and parallelized across the cores.
这些优化可确保所有关键的深度学习基元，比如卷积、矩阵乘法、批处理标准化等，都高效矢量化 为最新 SIMD，并跨内核实现并行化。
Some of these primitives are inner products, convolutions, rectified linear units or ReLU, batch normalization, etc., along with functions necessary to manipulate tensors.
其中部分基元包括内积、卷积、修正线性单元或 ReLU、批处理标准化等，以及操纵张量所需的函数。
Normalization: local response normalization across channels (LRN), batch normalization
标准化：跨渠道的本地响应标准化 （LRN ） 、 批次规标准化
Normalization: local response normalization across channels (LRN), batch normalization
标准化：跨通道局部响应归一化 （LRN ） ， 批归一化
Each residual block was made up of convolution, batch normalization, ReLU, and other operations, together with a residual structure (C1 and C2 in Figure 1).
残差块由卷积、批量归一化、ReLU 和其他操作组成，另外还有一个残差结构（图 1 中的 C1 和 C2 ） 。
Next, we will implement the batch normalization layer via the NDArray from scratch.
下面我们通过NDArray来实现批量归一化层。
This means ensuring that all the key primitives, such as convolution, matrix multiplication, and batch normalization are vectorized to the latest SIMD instructions (AVX2 for Intel Xeon processors and AVX512 for Intel Xeon Phi processors).
这意味着将所有关键基元（如卷积、矩阵乘法和批归一化）被向量化为最新 SIMD 指令（英特尔至强处理器为 AVX2，英特尔至强融核处理器为d AVX512 ） 。
Learn about batch normalization, why it is important, and how to implement it in TensorFlow.
了解批量正态化及其重要性，以及如何在 TensorFlow 中实施批量正态化。
Synonyms and analogies of "batch normalization" in English
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