MIT机械工程科研感受

原标题:MIT机械工程科研感受

我一直盼望着去麻省理工学院,因为计算机科学是我最感兴趣的研究领域之一。而且,大家都听说过麻省理工学院,它是世界上最著名的大学和研究机构之一。尽管如此,由于缺乏编程知识,我还是有点担心这个程序。

I have been looking forward to my visit to MIT for a long time, because Computer Science is one of my most interested study areas.
Also, everyone have heard of MIT, it is one of the most famous university and research institution in the world. Though, I was still bit worried about the program, due to my lack of knowledge in the field of programming.

带着激动和担忧,我在麻省理工的旅程开始了。正如我所料,第一个挑战来到了我面前。深入学习需要高等数学知识,如矩阵和线性代数,这不是我高中课程的一部分。

因此,每次上课前都需要做大量额外的准备。除此之外,另一个挑战出乎意料地出现了,大量阅读需要作为一项日常任务。由于在科学研究方面缺乏经验,对我来说,读完所有冗长的论文和文件是一件新鲜事。

With excitement and concerns, my journey at MIT begins. The very first challenge came to me just as I expected.
Deep learning requires advanced mathematics knowledge such as matrix and linear algebras, which were not part of my high school curriculum.
As a result, lots of additional preparation are required before each lecture. Adding to this, another challenge appeared unexpectedly, the large amount of reading required as a daily task.
With little experience in terms of scientific research, it is a fresh thing for me to read through all the lengthy papers and documents.

教授的第一项任务是阅读两篇论文,每一篇都介绍卷积神经网络的基本原理。这对我来说不是件容易的事。从所有陌生的专业词汇,到相当复杂的数学方程式。在一遍又一遍地读了这篇论文之后,我意识到论文的内容可能超出了我的能力范围。所以,我求助于我的教授,在一起讨论了这个问题之后,我们决定首先关注编程的数学部分,因为它是算法的关键。

于是,我们一起讲课,第一次把我介绍给了矩阵世界。矩阵本质上是一组按列和行组织的数字,但矩阵中的每一组值都可以被赋予不同的含义,从而把复杂的信息转化为一组数字,并由计算机很容易地计算出来。

The very first task given by the professor is to read two papers that will each give an introduction to the basic of convolutional neural network.
It was not an easy task for me. From all the unfamiliar professional vocabularies, to rather complicated mathematical equations.
After reading the paper over and over, I realized the content of the paper perhaps out of my reach.
So, I turned to my professor for help, and after discussing the issue together, we decided to focus on the math part of the programming first, as it is the essential to the algorithm.
Thus, we had lectures together, which first introduced me to the world of matrix. Matrix is essentially a group of numbers organized in columns and rows, however, each sets of value in the matrix can be assigned with different meanings, thus complicated information can be transformed into just sets of numbers, and calculated by the computer with great ease.

在获得了对深度学习最重要的知识之后,问题才变得更有趣。由于我知道如何将问题转换成一系列数字,我们的重点转向了一个优化功能,它可以使用简单的计算机设置实现视觉识别。我的目标是了解这个方程以及如何利用它来实现视觉识别。虽然优化一开始听起来很容易,但看起来不是。

在大多数情况下,人类和计算机只能为非常简单的方程找到一个优化点,比如当方程的图只有几个局部极小值时,我们就可以很容易地找出全局极小值。然而,在我们的情况下,这是一个完全不同的故事。

由于函数的输入在现实生活中是由两组摄像机获取的,因此图中可能会出现无数个局部极小值,因此,计算机找出全局极小值所需的时间太长。

After acquiring the most important knowledge to deep learning, problems only got more interesting.
Since I knew how to transform questions into series of numbers, our focus turned to the an optimization function that could enable visual identification using a simple computer setup.
My goal is to understand the equation and how to utilize to achieve visual recognition. Although optimization might sound easy in the beginning, but it is not it seems.
For most of the time, human and computers are only able to find an optimized point for very simple equations, say when the graph of the equation only has a few local minima, and we can pick out the global minima easily.
However, in our case, it is a completely different story. Since the input to the function is acquired in real life by two sets of cameras, thus the graph will likely to present countless number of local minima, thus, the time taken for the computer to find out the global minima would be too great.

为了解开这个谜团,我的处理器给了我一篇2018年发表的论文,该论文解决了我们试图解决这个方程所面临的完全相同的问题。他还告诉我,我们会尽量按照论文给出的建议,看看能不能写一个函数来解决这个问题。

In order to solve the mystery, my processor gave me a paper published in 2018 that tackles on the exact same problem we faced trying to solve the equation.
He also told me that, we will try to follow the proposal given by the paper, and see if we can write an function that can resolve the problem.

之后,汉教授和我通读了一遍,并一起讨论了论文。然后他给了我一个任务,让我写一个程序,在我回到中国后,与报纸给出的解决方案一起。返回搜狐,查看更多

Thereafter, Professor H and me read through, and discussed the paper together.
Then he gave me the task to write an program that accompany the solution given by the paper after I went back to China.

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