雖然這篇LeakyReLU ReLU鄉民發文沒有被收入到精華區:在LeakyReLU ReLU這個話題中,我們另外找到其它相關的精選爆讚文章
[爆卦]LeakyReLU ReLU是什麼?優點缺點精華區懶人包
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#1一文搞懂激活函数(Sigmoid/ReLU/LeakyReLU/PReLU/ELU)
一文搞懂激活函数(Sigmoid/ReLU/LeakyReLU/PReLU/ELU) ... ReLU 和神经元“死亡”(dying ReLU problem) 2.1 ReLU可以解决梯度消失问题 2.2 单侧饱和 2.3 神经 ...
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#2激活函数ReLU、Leaky ReLU、PReLU和RReLU - CSDN博客
2018年5月13日 — ReLU是将所有的负值都设为零,相反,Leaky ReLU是给所有负值赋予一个非零斜率。Leaky ReLU激活函数是在声学模型(2013)中首次提出的。以数学的方式我们 ...
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#3Leaky Relu - 深度学习的激活函数:sigmoid - 广告流程自动化
tensorflow 的激活函数激活函数可以分为两大类:饱和激活函数:sigmoid、 tanh非饱和激活函数ReLU 、Leaky Relu 、ELU【指数线性单元】、PReLU【参数化的ReLU 】 ...
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#4softsign、softmax、MaxOut)、如何選擇合適的啟用函式- IT閱讀
2019年1月1日 — ReLU是將所有的負值都設為零,相反,Leaky ReLU是給所有負值賦予一個非零斜率。 這裡的a固定不變,等於0.01。 函式影象如下:. PReLU:. ai ...
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#5非线性激活层:RELU还是LRELU? - Oldpan的个人博客
RELU (rectified linear unit)是线性整流单元,与Sigmoid类似但是比Sigmoid ... 而LeakyRelu是RELU的变体,对输入小于0部分的反应有所变化,减轻了RELU ...
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#6機器學習100天-Day2301 深層神經網絡DNN(Relu ... - 每日頭條
使用leakyRelu. 為了解決Relu死區問題,可以使用Relu函數的變體leaky RelU。 這個函數定義為LeakyReLUα(z)= max(αz,z).
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#7高级激活层Advanced Activation - Keras中文文档
LeakyRelU 是修正线性单元(Rectified Linear Unit,ReLU)的特殊版本,当不激活时,LeakyReLU仍然会有非零输出值,从而获得一个小梯度,避免ReLU可能出现的神经 ...
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#8Day 15 Activation function之兄弟大戰 - iT 邦幫忙
elu · 較為緩慢的變平滑。 elu為Relu的替代品,可以有負的輸出。 ; Relu · 避免且糾正梯度消失的問題。 計算比tanh和Sigmoid快,因為Relu的數學運算較簡單。 ; LeakyReLU · x<0 ...
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#9線性整流函式- 維基百科,自由的百科全書
整流線性單位函式(Rectified Linear Unit, ReLU),又稱修正線性單元, ... 帶泄露隨機線性整流(Randomized Leaky ReLU, RReLU)最早是在Kaggle全美資料科學 ...
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#10Leaky ReLU Explained | Papers With Code
Leaky Rectified Linear Unit, or Leaky ReLU, is a type of activation function based on a ReLU, but it has a small slope for negative values instead of a flat ...
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#11激活函数ReLU、Leaky ReLU、PReLU和RReLU - 华为云社区
Leaky ReLU 激活函数是在声学模型(2013)中首次提出的。以数学的方式我们可以表示为:. ai是(1,+∞)区间内的固定参数。
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#12高级激活层Advanced Activations - Keras 中文文档
LeakyReLU. keras.layers.LeakyReLU(alpha=0.3). 带泄漏的ReLU。 当神经元未激活时,它仍允许赋予一个很小的梯度: f(x) = alpha * x for x < 0 , f(x) = x for x >= 0 ...
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#13深度學習激勵函數介紹 - 大家一起學AI
常見的激勵函數如下圖所示,包含: Sigmoid、tan h以及ReLU 函數,而基於梯度消失、 ... 為了解決Dead ReLU Problem,Leaky ReLU將ReLU的前半段輸出設 ...
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#14激活函数ReLU与Leaky ReLU的区别(1)_平民科技的博客
激活函数ReLU与Leaky ReLU的区别(1)_平民科技的博客-程序员秘密_leakyrelu和relu的区别. 1、ReLU(Rectified Line Unit,ReLU):修正线性单元,神经网络中常用的激活函数 ...
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#15Leaky Rectified Linear Unit (ReLU) layer - MATLAB - MathWorks
Include a leaky ReLU layer in a Layer array. layers = [ imageInputLayer([28 28 1]) convolution2dLayer(3,16) ...
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#16LReLU总是优于ReLU吗?
Dead ReLU Problem:负输入时梯度为0,可能导致某些神经元永远不会被更新;. LeakyReLU(LReLU).
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#17Activation Functions — Sigmoid & ReLu & tahn & LeakyReLu ...
Activation Functions — Sigmoid & ReLu & tahn & LeakyReLu & ELU. 為什麼要用Activation Functions? 在初學經典CNN架構時,一定會看到activation ...
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#18machine-learning-articles/using-leaky-relu-with-keras.md
The death of a neural network? How is that even possible? Well, you'll find out in this blog. We briefly recap on Leaky ReLU, and why ...
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#19How to use "LeakyRelu" and Parametric Leaky Relu "PReLU ...
As a work-around, you can add another activation function in the tf.keras.activations.* module by modifying the source file ( which you'll ...
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#20【QA】為什麼使用Relu能夠解決梯度消失? - Cupoy
Relu 是一個在深度學習中常被使用到的激活函數,本次想要與各位探討一下Relu ... Leaky ReLu:ReLU在input小于0时,output为0,这时微分为0,你就没有 ...
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#21[2012.07564] ALReLU: A different approach on Leaky ReLU ...
Despite the unresolved 'dying ReLU problem', the classical ReLU activation function (AF) has been extensively applied in Deep Neural Networks ( ...
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#22LeakyReLU — PyTorch 1.11.0 documentation
LeakyReLU. class torch.nn. LeakyReLU (negative_slope= ...
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#23Keras 中Leaky ReLU等高階啟用函式的用法 - 程式人生
Keras 中Leaky ReLU等高階啟用函式的用法. 阿新• 來源:網路 • 發佈:2020-07-06. 在用Keras來實現CNN等一系列網路時,我們經常用ReLU作為啟用函式,一般寫法如下:.
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#24激活函數總結(Sigmoid - Tanh、Relu、LeakyRelu、pRelu、Elu
深度學習前期用到的激活函數有Sigmoid和Tanh,後期有Relu、LeakyRelu、pRelu、Elu、softplus,接下來,我將一一介紹它們的特點。
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#25What is the difference between LeakyReLU and PReLU?
Motivation behind PReLU was to overcome shortcomings of ReLU(dying ReLU problem) and LeakyReLU(inconsistent predictions for negative input ...
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#26Comparative Study of Convolution Neural Network's Relu and ...
The proposed feature extractor is created by inspiring of AlexNet Convolutional Neural Network (CNN) and it is using the LeakyReLU activation function for ...
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#27Leaky ReLU Calculator - keisan
Calculates Leaky ReLU(Leaky Rectified Linear Unit). Leaky ReLU is used in the activation function of the neural network.
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#28tf.nn.leaky_relu | TensorFlow Core v2.8.0
Compute the Leaky ReLU activation function.
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#29Reluplex made more practical: Leaky ReLU - IEEE Xplore
Reluplex made more practical: Leaky ReLU. Abstract: In recent years, Deep Neural Networks (DNNs) have been experiencing rapid development and have been ...
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#30An Alternative Accuracy-Optimized Activation Function - MDPI
Learnable Leaky ReLU (LeLeLU): An Alternative Accuracy-Optimized Activation ... higher accuracy than the industry standard ReLU in a variety of test cases.
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#31leaky relu 微分 - Suffly
LeakyReLU 用來解決ReLU神經元die的問題,輸入小于0的部分不再等于0,而是變成了一個斜率大于0 的斜坡函數。 ReLU激活函數在一定程度上解決了梯度消失的問題。 Why Use ...
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#32ReLU / Rectified-Linear and Leaky-ReLU Layer - Caffe
ReLU / Rectified-Linear and Leaky-ReLU Layer ... Given an input value x, The ReLU layer computes the output as x if x > 0 and negative_slope * x if x <= 0. When ...
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#33What are the advantages of using Leaky Rectified Linear Units ...
Leaky ReLU substitutes zero values with some small value say 0.001 (referred as “alpha”). So, for leaky ReLU, the function f(x) = max(0.001x, x). Now gradient ...
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#34激活函数(ReLU、Leaky ReLU、PReLU、tanh) - 马育民老师
早期研究神经网络主要采用sigmoid函数或者tanh函数,输出有边界,很容易充当下一层的输入。 近些年Relu函数及其改进型(如Leaky-ReLU、P-ReLU、R-ReLU 等 ...
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#35激活函数ReLU、Leaky ReLU、PReLU和RReLU - 博客园
ReLU 是将所有的负值都设为零,相反,Leaky ReLU是给所有负值赋予一个非零斜率。Leaky ReLU激活函数是在声学模型(2013)中首次提出的。以数学的方式我们 ...
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#36[活性化関数]Leaky ReLU(Leaky Rectified Linear Unit)
用語「Leaky ReLU(Leaky Rectified Linear Unit)/LReLU」について説明。「0」を基点として、入力値が0より下なら「入力値とα倍した値」(α倍は基本 ...
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#37深入理解ReLU、Leaky ReLU、 PReLU、ELU、Softplus
文章目录ReLU Leaky ReLU PReLU ELU Softplus ReLU ReLU(Rectified Linear Unit,修正线性单元),也叫Rectifier 函数,它的定义如下: Relu可以实现 ...
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#38leaky relu 優點乾貨|6
Leaky ReLU 的優點與ReLU 類似: 沒有飽和區,不存在梯度消失問題。 沒有複雜的指數運算,計算簡單,效率提高。 實際收斂速度較快,大約是Sigmoid/tanh 的6 倍。
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#39[Caffe]:關於ReLU、LeakyReLU 、PReLU layer | 程式前沿
ReLU 、LeakyReLU ReLU作為啟用函式被廣泛應用於各種深度神經網路中。在這篇部落格中,我主要記錄一下它和它的變種在caffe中的實現。
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#40Python nn.LeakyReLU方法代碼示例- 純淨天空
LeakyReLU 方法代碼示例,mxnet.gluon.nn. ... LeakyReLU方法的典型用法代碼示例。 ... Activation('relu') elif act_func == "relu6": self.act = ReLU6() elif ...
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#41ReLU and Leaky ReLU - Arm Ethos-U55 NPU Technical ...
Leaky ReLU implements Leaky ReLU as long as the input and output quantization scale are the same. The most recent TensorFlow Lite allows the quantization scale ...
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#42Deep understanding of ReLU, Leaky ReLU, PReLU, ELU ...
Deep understanding of ReLU, Leaky ReLU, PReLU, ELU, Softplus, Programmer Sought, the best programmer technical posts sharing site.
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#43PReLU和RReLU_qq_23304241的博客-程序员资料_leaky relu
Leaky ReLU 激活函数是在声学模型(2013)中首次提出的。以数学的方式我们可以表示为:. ai是(1,+∞)区间内的固定参数。 参数化修正线性 ...
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#44在Tensorflow中实现leakyRelu操作详解(高效) - 云+社区- 腾讯云
ReLU 函数将矩阵x内所有负值都设为零,其余的值不变。ReLU函数的计算是在卷积之后进行的,因此它与tanh函数和sigmoid函数一样,同属于“非线性激活函数” ...
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#45Relu Leaky Relu and Swish Activation Functions || Lesson 8
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#46LeakyReLU Bug on A12/A13 iPhone Devices when using ANE
And the results are totally wrong when using ANE, but results are right using gpu or cpu. If I just replace the leakyReLU with ReLU in the mlmodel, the output ...
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#47ReLU 函数_百度百科
ReLU 函数变种 · 为负的时候,带泄露线性整流函数(Leaky ReLU)的梯度为一个常数 · ,而不是0。在输入值为正的时候,带泄露线性整流函数和普通斜坡函数保持一致。换言之,.
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#48常見啟用函式的介紹和總結 - IT人
因為Leaky ReLU保留了x小於0時的梯度,在x小於0時,不會出現神經元死亡的問題。對於Leaky ReLU給出了一個很小的負數梯度值α,這個值是很小的常數。比如: ...
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#49神经网络之Sigmoid、Tanh、ReLU - Softmax激活函数 - 简书
神经网络之Sigmoid、Tanh、ReLU、LeakyReLU、Softmax激活函数. ShowMeCoding 关注. 0.569 2020.10.12 20:57:04 字数958阅读1,826. 我们把神经网络从输入到输出的计算 ...
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#50深入理解ReLU、Leaky ReLU、 PReLU、ELU、Softplus
文章目录ReLU Leaky ReLU PReLU ELU Softplus ReLU ReLU(Rectified Linear Unit,修正线性单元),也叫Rectifier 函数,它的定义如下: Relu可以实现单侧抑制(即把 ...
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#51Leaky Relu | nex3z's blog
Rectifier Nonlinearities Improve Neural Network Acoustic Models (2013) 1. 概述 文章分析了深度神经网络中tanh、ReLU、Leaky Relu 等不同激活函数在语音识别任务上 ...
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#52激活函數之sigmoid - ELU 以及更新的Leaky ReLU - 人人焦點
總結|激活函數之sigmoid、ReLU、ELU 以及更新的Leaky ReLU、SELU、GELU. 2021-03-06 深度學習與圖網絡. 選自mlfromscratch. 作者:Casper Hansen. 文章授權轉載機器之 ...
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#53從ReLU到GELU,一文概覽神經網路的啟用函式
死亡ReLU:優勢和缺點. 指數線性單元(ELU). 滲漏型整流線性單元(Leaky ReLU). 擴充套件型指數線性單元(SELU). SELU:歸一化的特例.
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#54在Tensorflow中实现leakyRelu操作详解(高效) - 脚本之家
ReLU 函数将矩阵x内所有负值都设为零,其余的值不变。ReLU函数的计算是在卷积之后进行的,因此它与tanh函数和sigmoid函数一样,同属于“非线性激活函数” ...
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#55深入理解ReLU、Leaky ReLU、 PReLU、ELU、Softplus_雷恩 ...
ReLUReLU(Rectified Linear Unit,修正线性单元),也叫Rectifier 函数,它的定义如下:Relu可以实现单侧抑制(即把一部分神经元置0),能够稀疏模型, ...
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#56mx.symbol.LeakyReLU — Apache MXNet documentation
leaky: Leaky ReLU. y = x > 0 ? x : slope * x. prelu: Parametric ReLU. This is same as leaky except that slope is learnt during training.
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#57leakyrelu function - RDocumentation
leakyrelu : Leaky Rectified Linear Unit. Description. maps numeric vector using leaky ReLU function. Usage. leakyrelu(x). Arguments. x. input vector.
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#58Leaky ReLU - Rubix ML
Leaky ReLU #. Leaky Rectified Linear Units are activation functions that output x when x is greater or equal to 0 or x scaled by a small ...
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#59Activation_Functions_and_their_...
Activation functions and its derivatives. Sigmoid activaton function; Tanh activaton function; ReLU activaton function; Leaky ReLU activaton function.
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#60How to use LeakyReLU as an Activation Function in Keras?
Leaky ReLU function is nearly identical to the standard ReLU function. The Leaky ReLU sacrifices hard-zero sparsity for a gradient which is ...
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#61How to use leaky relu with dense layers on Vitis AI 2.0 ...
LeakyReLU (alpha=0.1)(x) x = layers.MaxPooling2D(pool_size=(2, 2), ... How to use leaky relu with dense layers on Vitis AI 2.0 Tensorflow2.
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#62What are the advantages of ReLU over the LeakyReLU (in ...
Hello everyone. I was experimenting with ReLU and LeakyReLU for some time in feedforward neural networks and for me it looks like ReLU has ...
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#63mindspore.nn.LeakyReLU
Leaky ReLU activation function. LeakyReLU is similar to ReLU, but LeakyReLU has a slope that makes it not equal to 0 at x < 0. The activation function is ...
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#64ReLu、LeakyRelu、PReLu(转载)的更多相关文章 - 术之多
激活函数ReLU、Leaky ReLU、PReLU和RReLU. “激活函数”能分成两类——“饱和激活函数”和“非饱和激活函数”. sigmoid和tanh是“饱和激活函数”,而ReLU及其变体则是“非饱和激活 ...
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#65Leaky ReLU - Machine Learning Glossary
Leaky ReLU. Leaky ReLU is a type of activation function that tries to solve the Dying ReLU problem. A traditional rectified linear unit ...
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#66Gradient Vanishing Problem — 以ReLU / Maxout 取代Sigmoid ...
如同本文註釋中提到的,ReLU 並非完全沒有缺點,為了改善大量神經元壞死的狀況,便有人提出了改進版本的ReLU — Leaky ReLU & Parametric Relu。
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#67深度学习的激活函数:sigmoid、tanh - Leaky Relu、RReLU
激活函数可以分为两大类 :. 饱和激活函数: sigmoid、 tanh. 非饱和激活函数: ReLU 、Leaky Relu 、ELU【指数线性单元】、PReLU【参数化的ReLU 】 ...
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#68深度学习BN 、LeakyReLU算法原理 - 码农家园
BN和LeakyReLU[cc]def DarknetConv2D_BN_Leaky(*args, ... 深度学习BN 、LeakyReLU算法原理 ... 3.ReLu - Rectified linear units(线性修正单元) ...
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#69人工智慧-如何選擇激勵函數 - 大大通
常見的激勵函數如下圖所示,包含: Sigmoid、tan h以及ReLU 函數,而基於梯度 ... 函數還有一些變形,如Leaky ReLU、Randon Leaky ReLU以及Maxout等。
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#70Adaptive Convolutional ReLUs - Association for the ...
AdaReLU can be naturally used in convolutional layers, leading to ConvReLU. be zero. Leaky ReLU (LeakyReLU) (Maas, Hannun, and. Ng 2013) attempts to address the ...
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#71在tensorflow 2.0 中使用relu 和LeakyReLU-上地信息
在tensorflow 2.0 中使用relu 和LeakyReLU,网络上关于ReLU、LReLU等非常多的理论东西,可是大部分都是理论的,聚集怎么应用比较少。
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#72深度學習:使用激勵函數的目的 - Mr. Opengate
懶人包:常見的激勵函數選擇有sigmoid, tanh, Relu,實用上最常使用ReLU ,一些變形如Leaky ReLU, Maxout 也可以試試,tanh 和sigmoid 盡量別用。
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#73Leaky ReLU - 饱和激活函数”和“非饱和激活函数”。 - 程序员 ...
激活函数ReLU、Leaky ReLU、PReLU和RReLU_ning's blog-程序员信息网_leakyrelu ... sigmoid和tanh是“饱和激活函数”,而ReLU及其变体则是“非饱和激活函数”。
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#74[Machine Learning] ReLU 函式介紹與程式實作
可以任意調整x 輸入的範圍。 我們可以看到,在x < 0 的部份,輸出一直都是0。 Leaky ReLU. Leaky ReLU function 是 ...
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#75深度学习的激活函数:sigmoid - Leaky Relu、RReLU
非饱和激活函数: ReLU 、Leaky Relu 、ELU【指数线性单元】、PReLU【参数化的ReLU 】、RReLU【随机ReLU】. 相对于饱和激活函数,使用“非饱和激活函数”的优势在于两点: 1.
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#76激活函數解析:Sigmoid, tanh, Softmax, ReLU, Leaky ReLU
也就是說,函數的輸出不會限制在任何的範圍以內。 激活函數解析:Sigmoid, tanh, Softmax, ReLU, Leaky ReLU. 線性激活函數. 方程: f( ...
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#77Activation Functions in Neural Networks | by SAGAR SHARMA
Sigmoid, tanh, Softmax, ReLU, Leaky ReLU EXPLAINED !!! ... The ReLU is the most used activation function in the world right now.Since, it is used in almost ...
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#78在tensorflow 2.0 中使用relu 和LeakyReLU - 尚码园
网络上关于ReLU、LReLU等很是多的理论东西,但是大部分都是理论的,汇集怎么应用比较少。python 在Convolutional Neural Network (CNN) https://te.
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#79SMU 激活函数| 超越ReLU、GELU - 极市
SMU 激活函数| 超越ReLU、GELU、Leaky ReLU 让ShuffleNetv2 提升6.22%,极市视觉算法开发者社区,旨在为视觉算法开发者提供高质量视觉前沿学术理论, ...
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#80Leaky ReLU achievement in A Summer with the Shiba Inu
How to unlock the Leaky ReLU achievement in A Summer with the Shiba Inu: Got out of a sticky situation in the water. This achievement is worth 30 ...
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#81提出leaky relu的论文
激活函数ReLU、Leaky ReLU、PReLU和RReLU. “激活函数”能分成两类——“饱和激活函数”和“非饱和激活函数”. sigmoid和tanh是“饱和激活函数”,而ReLU及其变体则是“非饱和激活 ...
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#82leaky ReLU | LearnOpenCV
This post is part of the series on Deep Learning for Beginners, which consists of the following tutorials : Neural Networks : A 30,000 Feet ...
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#83Keras中使用如Leaky ReLU等高级激活函数的方法 - 程序员宝宝
在用Keras来实现CNN等一系列网络时,我们经常用ReLU作为激活函数,一般写法如下:from keras import layersfrom keras import modelsmodel = models.
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#84LeakyRelu (blue line) vs Relu (orange line) when x is less ...
Unlike Relu, LeakyRelu ensures that there is still a gradient when the neuron output is negative, so that the neuron does not “die”.
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#85python - ReLU 和LeakyRelu 的实现区别 - IT工具网
python - ReLU 和LeakyRelu 的实现区别 ... relu(x, alpha=0.0, max_value=None) Rectified Linear Unit. Arguments ... 我应该如何导入relu 来用alpha 实例化它?
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#86Dilated Convolution Neural Network with LeakyReLU for ...
LeakyReLU for Environmental Sound Classification ... Moreover, the LeakyReLU function ... LeakyReLU is used to substitute ReLU to bring the tradeoff.
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#87A Gentle Introduction to the Rectified Linear Unit (ReLU)
The rectified linear activation function or ReLU for short is a piecewise ... The Leaky ReLU (LReLU or LReL) modifies the function to allow ...
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#88LeakyReLu是什么意思? - SofaSofa-数据科学社区
LeakyReLU 这种激活函数被称作泄露修正线性单元,有点类似于普通的ReLU。 ReLU的公式是. f(x)={x, if x>00, if x≤0. 画成图就是这个样子.
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#89Leaky ReLU as an Neural Networks Activation Function
Additionaly, customized version of PReLU is Leaky ReLU or LReLU. Constant multiplier α is equal to 0.1 for this customized function.
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#90TensorFlow深度学习——深入理解人工智能算法设计 - Google 圖書結果
6.4.3 LeakyReLU ReLU 在x<0时导值恒为0,也可造成散现,为了克服这个问题,LeakyReLU 提,如图6.10 示,LeakyReLU的达式为:其中p为用户自行设的某较小值的超,如0.02等。
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#91深度學習的激活函數:sigmoid、tanh - Leaky Relu、RReLU
深度學習的激活函數nbsp :sigmoid tanh ReLU Leaky Relu RReLU softsign nbsp softplus GELU : : nbsp wamg瀟瀟nbsp 閱讀數更多分類專欄: nbsp ...
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#92Proceedings of Third International Conference on Intelligent ...
... 02 02 02 LeakyReLU LeakyReLU LeakyReLU LeakyReLU LeakyReLU LeakyReLU ReLU ReLU 01 Con_6 2048 × 4 ×4 01 × 01 01 1024 × 8 × 8 05 × 05 02 Decon_1 Decon_2 ...
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#93Computer Vision – ECCV 2018 Workshops: Munich, Germany, ...
... P1), LeakyReLU(0.01) 2 CONV-(N128, K3, S2, P1), BN, ReLU 3 CONV-(N256, ... PO), BN, Leaky ReLU(0.2) 3 DECONV-(N256, K4, S2, P1), BN, Leaky ReLU(0.2) 4 5 ...
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#94关于relu和leaky relu的疑问
在一些模型里面,主要是GAN这种,会发现在downsample的操作后面可以用leaky relu,在upsample的后面用的就是relu,如果改成leaky relu会发现效果会变 ...
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#95megengine.module.LeakyReLU — MegEngine 1.6 文档
class LeakyReLU(negative_slope=0.01, **kwargs)[源代码]¶ ... leakyrelu = M.LeakyReLU(0.01) output = leakyrelu(data) print(output.numpy()) ... ReLU.zero_grad.
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#96Signal Processing and Analysis Techniques for Nuclear ...
... LR Leaky ReLU, R ReLU, s stride • Dense—defining a fully connected layer; • Conv1D—defining ... the data array; • LeakyReLU, ReLU—activation functions.
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#97Pattern Recognition: ACPR 2019 Workshops, Auckland, New ...
DCONV-(N(512), K(4,4), S(1, 1), P(0, 0)), BN, ReLU 2 DCONV-(N(256), K(4,4), ... CONV-(N(64), K(4,4), S(2, 2), P(1,1)), Leaky ReLU 2 CONV-(N(128), K(4,4), ...
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