The Machine Learning Tokyo Hackathon: Face Recognition was held on April 21 at Tokyo Chapter, Roppongi. It was limited to 15 seats and Machine Learning and Deep Learning engineers joined to build face detection, face recognition and other related systems. We started with exploring OpenCV and Haarcascades, which is usually the first approach within the … Continue reading HACKATHON: FACE RECOGNITION
Machine Learning Tokyo is co-hosting an event on April 3 for those, who are interested in Deep Learning and Natural Language Processing. We are excited to welcome two experts in the field, coming all the way from Tel Aviv, Israel and Melbourne, Australia. Deep Learning for NLP First, Sam Davis (CEO amplified.ai) kicks off the … Continue reading EVENT: DEEP LEARNING FOR NLP
We're Machine Learning Tokyo, a bunch of tech enthusiasts, hosting study groups and working session for beginners and professionals since July 2017. In the course of our own learning process we've come across hundreds of Machine Learning, Deep Learning and Data Science materials, from tutorials and online courses, to blog posts, books, videos, Github repositories … Continue reading MACHINE LEARNING STARTER KIT
In the course of our development as machine learning engineers we found that there are a couple of things that make your life much easier. One of those things ins handling the command line. If you're already coming from an engineering background, this might seem the obvious way to handle data for you. However, if … Continue reading DATA SCIENCE & THE COMMAND LINE
Finishing Course 4 of Andrew Ng's deeplearning.ai @Coursera was really fun. Especially Neural Style Transfer (NST). With this technique the style of a famous painting can be transferred to a new image. Here are some of the examples from the course: As my style-image I decided to go for for Munch's "The Scream". I … Continue reading NEURAL STYLE TRANSFER WITH DEEPLEARNING.AI
[日本語が以下にあります] 6 months ago we started a small Machine Learning study group in Tokyo. More and more people joined us along the way, from beginners to experts and mentors. We met incredibly talented people, shared knowledge and ideas, found problems, solved problems. Together, we facilitated more than 200 hours of Machine Learning study in this … Continue reading 6 MONTHS. 200 HOURS. MACHINE LEARNING.
There is an overwhelming amount of information about Machine Learning and Deep Learning for beginners out there. Therefore, we decided to write an overview on the best conceptual introductions to the field we have encountered so far. One deck, one YouTube channel and one Blog covers it all. Have fun! 😀 Machine Learning 101 Jason … Continue reading TOP 3 RESOURCES FOR MACHINE LEARNING BEGINNERS