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Image-to-Image Regression

Today I like to talk about the basic concepts of setting up a network to train on an image-to-image regression problem. This demo came about for two reasons: There are quite a few questions on MATLAB answers about image–to–image deep learning problems. I’m planning a future in-depth post with an image processing/deep learning expert, where we’ll be getting into...

标签: Deep Learning Example

Deep Learning

2019-02-21 20:40:33

The Missing Link

Of course the data we collect is always perfect - NOT! Maybe yours is different. What can go wrong? So many things. Instruments drift, web sites go down, power goes out, ... So what can you do if you have gaps in your data, and the analysis you want to perform won't tolerate that condition? You might decide you need...

标签: Dealing with Data, How To, New Feature

Loren on the Art of MATLAB

2019-02-20 08:27:51

Variants: What Are Your Options in R2018b?

I posted about variants in the past, but things have changed a lot since then, so I thought it would be a good idea to review the options available for variants in R2018b. Variant Subsystem If you are not familiar with the concept of variants, I recommend getting started with the documentation page What Are Variants and When to Use...

标签: Code Generation, Simulink Tips

Guy on Simulink

2019-02-19 15:22:41

Experiments with Variable Format Half Precision

For the past month I have been working with the variable format 16-bit floating point arithmetic that I described in this post. It has been frustrating work. I have found that the limited precision and limited range of half precision make it barely usable for the kind of experiments with matrix computation that I like to do. In this post...

标签: Eigenvalues, Matrices, Numerical Analysis, Precision

Cleve’s Corner: Cleve Moler on Mathematics and Computing

2019-02-18 11:01:41

Pursuit Curves

Here's an interesting snippet I learned while working on today's blog post: Mathematician Jacob Bernoulli asked for a logarithmic spiral to be engraved on his tombstone. Here's an example of a such a spiral.theta = -6*pi:0.01:6*pi; rho = 1.1.^theta; polarplot(theta,rho) rlim() Sadly, the engravers of his tombstone apparently did not fully understand his request. They engraved a spiral, but...

标签: Uncategorized

Steve on Image Processing

2019-02-14 11:47:37

Setting the Strings in a Table to a Constant

I have a table with many columns, some of which are stings. I want to set all the string values to a constant string. Features covered in this code-along style video, which is less coherent than usual, include: table, string, and repmat Follow me (@stuartmcgarrity) if you want to be notified via Twitter when I post. Play the...

标签: Uncategorized

Stuart’s MATLAB Videos

2019-02-14 09:26:58

Why You Should Date Someone Who Knows MATLAB

Happy Valentines Day! I have been working with the MATLAB community since we launched MATLAB Central wa-aaay back at the beginning of this century. On more than one occasion we have been asked to consider some sort of matchmaking service on the site. While we never acted on this interesting proposition, it does lead to a certain line of reasoning....

标签: Uncategorized

MATLAB Community

2019-02-13 18:44:41

Why Model-Based Design to Build Your Racecar

Today, let me share why I would model and simulate while designing a race car. Bottom line: It can save you time, resources, and help you test your ideas that would be difficult to realize using hardware prototypes. Modeling Modeling is a way to create a virtual representation of a real-world system that includes software and hardware. If the software...

标签: Automotive, Education, Skills, Video, Workflow

Racing Lounge

2019-02-13 08:48:13

ThingSpeak Library for Arduino

The ThingSpeak team has released an updated version of the ThingSpeak Communication Library for Arduino, ESP8266, and ESP32 devices. The ThingSpeak library is the easiest way to get Arduino devices connected to ThingSpeak IoT services. The library now features a way to separate secret credentials from your main source code. This helps when you want to share your code but...

标签: News

Hans on IoT

2019-02-12 10:31:20

Buckets of Builds

Buckets. Sometimes it rains buckets. Other times we are challenged with ice buckets. When it comes to my code, tests, and development process, I want to put it all in buckets. One bucket for tests that are crucial to my iterative workflow. One bucket for tests that are less crucial on a change by change basis, but still important overall....

标签: Continuous Integration

Developer Zone

2019-02-11 15:17:11

New Cody Features: Customized Groups and Solve Later

Today I want to tell you about two new features in Cody. One of them, Customized Groups, I've been anticipating with excitement for a long time. The other one, Solve Later, took me by surprise and bowled me over with how useful it is. Customized Groups Groups (that is, named collections of Cody problems) have been around since the...

标签: Uncategorized

MATLAB Community

2019-02-08 16:37:17

Draggable Data Tips

Jiro's pick this week is DragDataTip by Allen.Here's a simple, but quite useful utility to use in conjunction with MATLAB's data tips. It customizes the data tips so that you can drag the labels to any location for better visibility.The entry requires you to also download and install draggable by Francois Bouffard. Here's an example.hFig = figure; hLin = plot(peaks);...

标签: Picks

File Exchange Pick of the Week

2019-02-08 10:39:32

Animated PNG (APNG) Files

Have you heard of animated PNG (APNG) files? Are you interested in creating them from MATLAB? They are supposed to be an improvement over GIF for making animations that are viewable in a web browser. (If you have an opinion about this, one way or the other, please share your thoughts in the comments.)Here's a sample image. Do you see...

标签: Uncategorized

Steve on Image Processing

2019-02-07 14:03:36

Gartner Magic Quadrant

This is a guest post from Paul Pilotte, technical marketing manager for data science and predictive analytics. Gartner recognizes MathWorks as a Visionary in its January 2019 Magic Quadrant for Data Science and Machine Learning Platforms Deep learning and AI are top of mind in many organizations we work with at MathWorks. It’s inspiring for us to see...

标签: I didn't know that!

Deep Learning

2019-02-06 20:32:49

Data Scaling for Scattered Interpolation

Today's guest blogger is Josh Meyer, a Technical Writer for the MATLAB Math and Big Data teams. He is going to discuss a common issue encountered in scattered data interpolation, and how to fix it!ContentsThe ProblemBackground on Scattered InterpolationBack to the ProblemCause of the ProblemNormalization to the RescueData ScalingNow let's extrapolate!AcknowledgementsFurther ReadingThe ProblemA common issue that can arise while performing...

标签: Common Errors, Computational Geometry, Interpolation & Fitting, Uncategorized

Loren on the Art of MATLAB

2019-02-04 09:37:09

Comprehensive, easy-to-use particle image velocimetry tool

Brett's Pick this week is PIVLab, by William Thielicke.ContentsA Particle Velocimetry Suite of Tools!A video tutorial!One suggestionA Particle Velocimetry Suite of Tools!Many years ago, as a postdoc at the National Institutes of Health, I was working on a problem with a colleague characterizing the (spiral) shape of the cochlea. Armed with my knowledge of the Image Processing Toolbox, I pretty...

标签: Picks

File Exchange Pick of the Week

2019-02-01 09:00:17

Deep Learning Visualizations: CAM Visualization

I’m hoping by now you’ve heard that MATLAB has great visualizations, which can be helpful in deep learning to help uncover what’s going on inside your neural network. Last post, we discussed visualizations of features learned by a neural network. Today, I’d like to write about another visualization you can do in MATLAB for deep learning, that you won’t...

标签: Uncategorized

Deep Learning

2019-01-31 15:26:21

Using a Conditional Breakpoint in a for Loop

I have a for loop that is transforming my data in a way I did not expect, so I use a conditional breakpoint to stop when my data changes, helping me get closer to the cause. Features covered in this code-along style video include: Conditional breakpoints Follow me (@stuartmcgarrity) if you want to be notified via Twitter when...

标签: Code-Along, Format: Video

Stuart’s MATLAB Videos

2019-01-31 13:57:36

Guess what neuroscientists found when they studied the brains of football fans

North American football is the most popular sport in the United States. While popular, it’s also undeniably one of the most violent.?For years now, concussions have been a major concern for players. Recent NFL rule changes seem to be having an impact: The NFL recently reported a 29% decrease in concussions during the 2018 regular season. But it’s still a...

标签: Uncategorized

Behind the Headlines

2019-01-30 15:23:05

A Robot Brings This 290 Million-Year-Old Fossil Back to Life

An impeccably-preserved fossil discovered in Germany was brought back to life with the help of a CT scan, a 3D-printer, computer simulations, and MATLAB. Well, okay, not exactly back to life. But thanks to researchers from Humboldt University of Berlin and école Polytechnique Fédérale de Lausanne, technology has the Orobates pabsti up and walking around, at least in robot form....

标签: Uncategorized

Behind the Headlines

2019-01-22 18:01:18

Football Squares Updated for Superbowl LIII

I wrote about Football Squares a long time ago. In light of the upcoming Superbowl, a few people have asked me to brush up my code. As a bonus, it's been so long since the last time I did this that I can show off some new MATLAB functionality. Here goes... The game Is this game is popular with other...

标签: Uncategorized

MATLAB Community

2019-01-22 16:26:48

Floating Point Arithmetic Before IEEE 754

In a comment following my post about half-precision arithmetic, "Raj C" asked how the parameters for IEEE Standard 754 floating point arithmetic were chosen. I replied that I didn't know but would try to find out. I called emeritus U. C. Berkeley Professor W. (Velvel) Kahan, who was the principle architect of 754. Here is what I learned.ContentsThe ZooIEEE 754Kahan's...

标签: Numerical Analysis, People, Precision

Cleve’s Corner: Cleve Moler on Mathematics and Computing

2019-01-18 12:47:20

Live Script Gallery and Run in Browser

Jiro's pick this week is the Live Script Gallery.I'm going a bit out-of-model today to highlight a new page that became live recently in MathWorks website. The Live Script Gallery showcases some live script examples found on the File Exchange. You can download these live scripts from their File Exchange entries, run them on your MATLAB, on MATLAB Online, or...

标签: Picks

File Exchange Pick of the Week

2019-01-18 10:45:20

Neural Network Feature Visualization

Visualization of the data and the semantic content learned by a network This post comes from Maria Duarte Rosa, who is going to talk about different ways to visualize features learned by networks. Today, we'll look at two ways to gain insight into a network using two methods:?k-nearest neighbors and t-SNE, which we'll describe in detail below. ...

标签: Uncategorized

Deep Learning

2019-01-18 06:00:36

Where Are They Now? - Matthew Corner, Jaguar Land Rover

Today, we open a new category in the Racing Lounge Blog called "Where Are They Now?". In a loose series of posts, we'll be featuring success stories of students that have participated in student competitions. We gonna kick it off with interviewing?Matthew Corner?who previously competed in Formula Student UK and now is software engineer at Jaguar Land Rover. ...

标签: Where-Are-They-Now

Racing Lounge

2019-01-16 11:29:19

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