11th January 2016 was my first day at work in Skyscanner. 26th July 2018 was the last day. Back then, I thought that Skyscanner is a company that does only flights price comparison. What so difficult about it right? Little did I know, a simple concept like that consists of various complex and large systems […]
Pulling some old story for a new blog post… Back in March, I built an app and submitted to Google PlayStore. The app is SnapSpeak, which is an app that contains 2 main feature: Extract text from images Convert text to speech The app itself is built using React Native, which is a framework by […]
It has been a while since I last taken my solo trip. Most of my travel mates don’t seem to express interest to travel to China, so the idea of traveling together (to China) has been called off several times. Thanks to my company Skyscanner which provides the employees some financial incentive to visit China (since […]
One day near the end of October, instead of sending and discussing cat and dogs photos on Facebook, my younger brother who is studying PhD now asked me if I am good at image processing. My answer was no, and I told him the most advance? project I have done is classifying cats and dogs, […]
After having to play my own game (Moody Man) for a while, I start to hit the score limit of 40-ish and couldn’t break my own record. On the other hand, I heard that one of my colleague’s daughter has a high score of 50, amazing! In order to achieve a higher score than her, […]
What makes a man moody ಠ_ಠ? Stressful work, disappearing money and perhaps, a creepy wife. Embark a journey with Moody Man in avoiding these responsibilities and survive as long as you can! That’s the description of my newly published Android game – Moody Man. 😀 tl;dr Here is the link to the game in Google […]
No blog on machine learning this week, but I have something exciting to share, my second Android game is coming soon! Stay tuned, most likely it will be released by this week in Play Store 🙂
Apparently it’s 4 weeks since my last post == sadly my music generation using RNN / LSTM didn’t go as well as I expected, nonetheless I have made some minor progress, thus I think is a good time to post an update. First of all, I named this side project MeloDeep. Pun intended 🙂 By using deep […]
Not so much updates for this week, as I am still reading through lots of materials and resources regarding CNN and another new variation of neural network – Recurrent Neural Network (RNN). Found a very good website in explaining the underlying structure of different neural network, definitely recommended to read it out http://colah.github.io/ Apart from […]
Last week I blogged about using Vgg16 to train and then differentiate between the dogs and cats. Lets dive slightly deeper this week and look at how we can build some similar thing from scratch. Essentially the Vgg16 is a Convolutional Neural Network (CNN), a special type of neural net that is extremely powerful in image […]