Dataset preparation and Training

Contact Freelancer
2,800 yen per hour
Tech & Programming / AI & Machine Learning
Japanese → English English → Japanese Japanese → Tagalog Tagalog → English
I am very well familiar with Darknet Framework for training Object Detection and Classification.
I am also familiar with Tensorflow and used it more than a couple of times during my employment period before.
I am also familiar with the DeepLearning4J framework for Java.
I am reachable from Monday to Saturday @ 09:00 to 21:00

shaolin30's Profile

ID Unverified
About 4 years ago
Japanese Tagalog English
I am originally from the beautiful country of the Philippines but now living in Japan for over 9 years now. I graduated and gained professional experience as a programmer in the Philippines way back 2009 to 2011. When I started living in Japan in 2011, I've worked as a factory worker until 2016 then finally I got a breakthrough and given the chance to continue my passion for programming in the mid of 2017 onwards. Starting that day I have gained more knowledge in programming especially in Native Android App development. I have been given the chance to joined in a team as a Native Android developer and finished two android applications which Toyota Motor Corporation is using right now. Because of my role as a mobile developer, my confidence and knowledge about mobile development has been dramatically escalated and continuously growing. I can now work independently and I can start to develop an application from scratch with carefully following google's architecture pattern and include some of the libraries that google recommend. For developing the UI, I am following the Material Design tool to properly construct the front end. For back-end and networking stuff, I use Retrofit library for HTTP requests, I also wanted an easy instantiation of classes or objects which invoked during at runtime so I normally use the Dagger2 library. I am also a Unit testing oriented developer so I normally test classes, objects and UI to minimize unexpected errors, maintain scalability, easy to maintain source code, and integrity of it.