sequential

tensorflow.keras

萝らか妹 提交于 2019-11-29 17:57:57
在keras中,可以通过组合层来构建模型。模型是由层构成的图。最常见的模型类型是层的堆叠: tf.keras.Sequential . model = tf.keras.Sequential() # Adds a densely-connected layer with 64 units to the model: model.add(layers.Dense(64, activation='relu')) # Add another: model.add(layers.Dense(64, activation='relu')) # Add a softmax layer with 10 output units: model.add(layers.Dense(10, activation='softmax')) tf.keras.layers的参数,activation:激活函数,由内置函数的名称指定,或指定为可用的调用对象。kernel_initializer和bias_initializer:层权重的初始化方案。名称或可调用对象。kernel_regularizer和bias_regularizer:层权重的正则化方案。 # Create a sigmoid layer: layers.Dense(64, activation='sigmoid') # Or: layers

pytorch简单框架

泄露秘密 提交于 2019-11-29 16:44:54
网络搭建: mynn.py: import torchfrom torch import nnclass mynn(nn.Module): def __init__(self): super(mynn, self).__init__() self.layer1 = nn.Sequential( nn.Linear(3520, 4096), nn.BatchNorm1d(4096), nn.ReLU(True) ) self.layer2 = nn.Sequential( nn.Linear(4096, 4096), nn.BatchNorm1d(4096), nn.ReLU(True) ) self.layer3 = nn.Sequential( nn.Linear(4096, 4096), nn.BatchNorm1d(4096), nn.ReLU(True) ) self.layer4 = nn.Sequential( nn.Linear(4096, 4096), nn.BatchNorm1d(4096), nn.ReLU(True) ) self.layer5 = nn.Sequential( nn.Linear(4096, 3072), nn.BatchNorm1d(3072), nn.ReLU(True) ) self.layer6 = nn.Sequential( nn

Selenium junit tests - how do I run tests within a test in sequential order?

烂漫一生 提交于 2019-11-29 12:20:42
I am using junit with eclipse to write function tests. When running an individual test it runs in the order that I have them set within the class. Eg. testCreateUser testJoinUserToRoom testVerify testDeleteUser However when I run this test as part of a suite, (so in a package) the order is random. It will for example do the verify, then delete user then joinuserToRoom then Createuser. My tests within the suite are not dependent on each other. However each individual test within a test is dependent on them being run in the correct order. Is there any way I can achieve this? Thanks. Matthew

Sequentially number rows by keyed group in SQL?

倖福魔咒の 提交于 2019-11-28 20:47:09
Is there a way in SQL to sequentially add a row number by key group ? Assume a table with arbitrary (CODE,NAME) tuples. Example table: CODE NAME ---- ---- A Apple A Angel A Arizona B Bravo C Charlie C Cat D Dog D Doppler D Data D Down Desired projection using CODE as the grouping attribute: CODE C_NO NAME ---- ---- ---- A 0 Apple A 1 Angel A 2 Arizona B 0 Bravo C 1 Charlie C 0 Cat D 0 Dog D 1 Data D 2 Down D 3 Doppler Thanks, SQL Server Oracle Postgres Sybase MySQL doesn't AFAIK. This covers most bases.. SELECT CODE, ROW_NUMBER() OVER (PARTITION BY CODE ORDER BY NAME) - 1 As C_NO, NAME FROM

Sizeof array through function in C [duplicate]

好久不见. 提交于 2019-11-28 14:39:20
This question already has an answer here: How to find the 'sizeof' (a pointer pointing to an array)? 13 answers I'm not sure why I cannot use sizeof(array) when passing the array through my function only outputs a value of 1, instead of 1000000. Before passing the array to the function, I printed out the sizeof(array) to get 4000000 and when I try to printout the sizeof(array) in the function, I only get 4. I can iterate through the array in both the function and the main to display all values, I just cannot display sizeof within the function. Did I pass the array through incorrectly? #include

Run batch files sequentially

北城余情 提交于 2019-11-28 10:58:45
I want to ask you all how to run batch files sequentially in Windows. I have tried : start /w batchfile_1.bat start /w batchfile_2.bat .. start /w batchfile_n.bat but I have to close the previous .bat file process manually (e.g. by clicking) before continuing into the next one. Is there any solution to do this automatically without me doing the manual closing previous .bat program every time? Thanks a lot. Ishikawa I would check the solutions to this question: Run Multiple batch files Taken from the answer in the link. Use call: call bat1.cmd call bat2.cmd By default, when you just run a batch

Selenium junit tests - how do I run tests within a test in sequential order?

自闭症网瘾萝莉.ら 提交于 2019-11-28 05:46:38
问题 I am using junit with eclipse to write function tests. When running an individual test it runs in the order that I have them set within the class. Eg. testCreateUser testJoinUserToRoom testVerify testDeleteUser However when I run this test as part of a suite, (so in a package) the order is random. It will for example do the verify, then delete user then joinuserToRoom then Createuser. My tests within the suite are not dependent on each other. However each individual test within a test is

vi - how to generate a number sequence?

和自甴很熟 提交于 2019-11-28 03:23:29
Is there a way to generate a number sequence in vi(m)? For example, from a random row in a file (opened in vim), say Row-i - to a random row, say Row-j, where Row-i < Row-j, is there a way to generate number sequence from Row-i to Row-j starting with number 1 to number j-i+1 with step increment as 1? Say I have the following lines in a file. this is line #1 this is line #2 this is line #3 this is line #4 this is line #5 this is line #6 this is line #7 this is line #8 this is line #9 this is line #10 I want to prefix the number sequence from line #4 to line #8 starting with number 1 to number 5

Clock Tree Sink Pins and Synchronous Pins

佐手、 提交于 2019-11-28 02:36:11
http://hi.baidu.com/xinchao628/blog/item/07e7a088a063faa70f244417.html The clock tree sinks are the synchronous points of a clock tree.astro clock tree synthesis identifies the following pins as clock tree sinks. .sequential cells'clock port with trigger edge information .user-defined synchronous pins with tha ataDefineSyncPin or ataDefineSyncPort command if you are not sure whether the clock ports of sequential cells in your library have trigger edge information,review your library preparation or use the auDumpCLF command to write a text file.in the file,you must have defineTimingTLU

pytorch神经网络层搭建方法

送分小仙女□ 提交于 2019-11-27 19:07:43
神经网络层的搭建主要是两种方法,一种是使用类(继承torch.nn.Moudle),一种是使用torch.nn.Sequential来快速搭建。 1)首先我们先加载数据: import torchimport torch.nn.functional as F #回归问题 x=torch.unsqueeze(torch.linspace(-1,1,100),dim=1) y=x.pow(2)+0.2*torch.rand(x.size()) 2)两种方法的模板: 2.1: 类(class):这基本就是固定格式,init中定义每个神经层的神经元个数,和神经元层数,forward是继承nn.Moudle中函数,来实现前向反馈(加上激励函数) #method1 class Net(torch.nn.Module): def __init__(self): super(Net, self).__init__() pass def forward(self,x): pass 比如: #method1 class Net(torch.nn.Module): def __init__(self): super(Net, self).__init__() self.hidden=torch.nn.Linear(1,10) self.prediction=torch.nn.Linear(10,1)