bad case: <?php foreach($user_detail AS $val) { if(!empty($val->portrait)) { //假设这个循环从来没有到达过 $portrait[] = $val->portrait; } } #此时.$portrait为NULL,而不是Array. //以下的结果一定是NULL.不论$image_ids是什么. $image_ids = array_merge($image_ids, $portrait); good case…

文章目录 Learning Objective Introduction Software Applications Before Software Testing What is testing? What is software testing? Type of Testing Define software testing Verification & Validation Why do we test? What do we test? Who's involved in testing…

[中文翻译] 为了帮助您练习机器学习的策略, 在本周我们将介绍另一个场景, 并询问您将如何行动.我们认为, 这个工作在一个机器学习项目的 "模拟器" 将给一个任务, 告诉你一个机器学习项目像什么! 你受雇于一自动驾驶汽车公司.您负责检测图像中的路标 (停车标志.行人过路标志.建筑前方标志) 和交通信号灯 (红色和绿色灯).目标是识别这些对象中的哪一个出现在每个图像中.举例来说, 上述图则载有行人过路标志及红色交通灯. 您的10万标签图像是使用你的车的前置摄像头拍的.这也是你最关心的关于…

[]To help you practice strategies for machine learning, the following exercise will present an in-depth scenario and ask how you would act. Consider airplane pilots who’s training involves time spent in flight simulators. These flight simulators acce…

Week1 Bird recognition in the city of Peacetopia (case study)( 和平之城中的鸟类识别(案例研究)) 1.Problem Statement This example is adapted from a real production application, but with details disguised to protect confidentiality. (问题陈述:这个例子来源于实际项目,但是为了保护机密性,我们会对细节…

Learning Goals Understand multiple foundational papers of convolutional neural networks Analyze the dimensionality reduction of a volume in a very deep network Understand and Implement a Residual network Build a deep neural network using Keras Implem…

package com.aura.scala.day01 object caseClasses { def main(args: Array[String]): Unit = { // 注意在实例化案例类时,并没有使用关键字new, 这是因为案例类有一个默认的apply // 方法来负责对象的创建. val frankenstein = Book("978-0486282114") println(frankenstein.isbn) val message1 = Message(&q…

https://www.cs.cmu.edu/afs/cs/project/jair/pub/volume4/kaelbling96a-html/node26.html [平均-打折奖励] Schwartz [106] examined the problem of adapting Q-learning to an average-reward framework. Although his R-learning algorithm seems to exhibit convergence p…

from numpy import exp, array, random, dot class NeuralNetwork(): def __init__(self): random.seed(1) self.synaptic_weights = 2 * random.random((3,1)) - 1 def __sigmoid(self, x): return 1 / (1 + exp(-x)) def __sigmoid_derivative(self, x): return x*(1-x…

http://delivery.acm.org/10.1145/220000/218367/p543-brill.pdf?ip=116.30.5.154&id=218367&acc=OPEN&key=4D4702B0C3E38B35.4D4702B0C3E38B35.4D4702B0C3E38B35.6D218144511F3437&CFID=763856971&CFTOKEN=66313413&acm=1495021097_b5bf093135456075…