I decided to repair the Travis CI build. What started as a small fix end up as setting up the whole automatic release system connected with GitHub releases. It sounds really cool, but the truth is that the electron-builder provided everything what we need. Then our task is “only” to set up everything correctly. So, today I will give you a step by step guide.
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I heard a lot of stories about people, even whole teams, who works on machine learning problems, getting stuck for whole years trying to solve the problem. And then somebody else came using simple techniques and get much better results! There isn’t any definite way how to overcome such freezes, but we can learn from others mistakes.
You can love it, you can hate it, but no matter what you think about it, it will be there. As you may know the Memory King is also open source and you can find it on GitHub. And in todays blog post I will discuss what it means for me and why I love it.
Open-source software (OSS) is computer software with its source code made available with a license in which the copyright holder provides the rights to study, change, and distribute the software to anyone and for any purpose.
Let’s start our machine learning journey! This week I started the real work on the project. For those who don’t know, my project will be kind of OCR project, so we will be dealing with images, computer vision, and all sorts of interesting problems. And in this episode we will start getting ready for the machine learning.
Last week I spent exploring a wide range of electron extensions. I didn’t work on the GUI. So, today it will be purely about these electron extensions. I came across this GitHub repository: electron-awesome where you can find a lot of useful resources. And as you can guess, I couldn’t resist and I add some of these tools 😀 .
Today, I am starting a new series! You may notice that I recently finished a Machine Learning course on Coursera (definitely recommend it). But here comes the real challenge, put my skill into real use! I’m going to participate in the local project competition so-called SOČ (i.e. high school professional activity). So, I’m starting a new series about my project related to the machine learning.
Today is a special day. Because this is the 10th blog post from the Memory King series. Well, the most awesome thing about this is that I am still writing these blog posts. Because that is the hardest part for me. Today I would like to review my work so far and more importantly, I would like to talk about the memory techniques, concepts behind it, and the reasons why am I building this app!
Good news, everyone! The first prototype of Numbers training is finished. So, today we will be talking about some challenges, which I was facing during development (key handling and more…). Well, it needs some tweaking, but the core concepts behind it are working. And I can start focusing more on the user experience. Also, since this prototype get really far, I would love to hear what you think about it and what are the possible improvements.
I am a little bit in a hurry today. School started here and I am kind of overwhelmed with different activities. That doesn’t mean that nothing has been done during last week, but nothing is in state, when I could fully talk about it. At least I have some time to talk about my development environment.
My big goal is to bring something new and valuable into the series every week. Today I am really exited because I finally successfully implemented Material Design Lite and I made the first prototype of numbers training game. And I’m still working on new features for Memory King. Some of you may be scared that the repo on GitHub is failing to build on Travis CI. But that’s only because the new version of electron packager needs Wine in order to make package for Windows. And I am lazy to mess with it right now (I will correct it once AppVeyor build fails too).