Jetson Xavier Setup and Installation Instructions

June 13, 2019

AUTHOR: Andre Foote

In AI/ML, data and computing power are resources that go hand-in-hand. So, as our datasets and databases have grown over the years, so too has the demand for computing power. While it is possible to make use of cloud computing services such as those offered by Microsoft, IBM, Google etc. such an approach can be costly and at times cumbersome. In the last year Nvidia has introduced its Xavier computer as a powerful and efficient solution for developers seeking to prototype their ideas.

The Xavier is an AI computer that delivers the performance of a high-end GPU workstation in an embedded module that operates at 30W or less. Containing a 512-core Volta GPU, 8-core 64-bit CPU, and a 16GB Memory, it’s hard to believe that all of that power can fit in the palm of your hand!

So, you can expect that this is an exciting new piece of technology for all the AI Scientists, ML Engineers, and Data Analysts around the world that are bonded together by our shared need computing power and have ever felt limited by the amount of computing power available to them.

This post will hopefully help anyone who has obtained a Xavier and would like some guidance on how set it up, install a few packages, and configure device behaviour.

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NLP Project Using FastText Model

June 7, 2019

AUTHOR: manhnh

I’m writing this tech blog to give you some information about NLP project using FastText pretrained model and do some works to improve its performance in terms of accuracy.

I. NLP project

A NLP project can be processed as common process of Machine Learning project as in the following steps.

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Domain Driven Design & Microservices

May 15, 2019

AUTHOR: Lâm Đinh Thế

Cùng tìm hiểu tại sao 1 cuốn sách viết cách đây 16 năm về trước, vốn chỉ là những tư duy trong việc phân tách nghiệp vụ, lại là giải pháp tuyệt vời cho các vấn đề trên Microservices.

DDD-_-Microservices

Kiến trúc Microservices phân tách sự phức tạp của hệ thống bằng cách module hóa. Mỗi Microsevices phụ trách xử lí 1 khả năng đáp ứng nghiệp vụ sinh ra lợi nhuận.

Các vấn đề của Domain Model partern trong Microservices
– Liên kết qua object reference
– Cần two phase commit (2PC) để đồng bộ trên dữ liệu phân tán
– 2PC không thích hợp với các ứng dụng hiện đại. Không hỗ trợ NoSQL

Áp dụng tư tưởng của Domain Driven Design để giải quyết
– Các thành phần chính trong DDD: Entity, Value object, Services, Repositories, Aggregates
– Aggregates chính là chìa khóa để giải quyết vấn đề liên kết giữa các object
– Các khái niệm cơ bản trong DDD
– Giải thích các rule trong Aggregates

Đồng bộ hóa trên Microservices
– Sử dụng event-driven và eventually consistent
– Event Sourcing
– Áp dụng Event Storming để thiết kế Event Sourcing

Đơn giản hóa Microservices trên eShopOnContainer
– CQRS đơn giản với 1 DB
– Không lưu Domain Event mà chỉ lưu Integrated Event
– Database lưu trữ State thay vì Event

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Setting Up GPU Environment for Model Training

May 13, 2019

AUTHOR: Andre Foote

In a previous post, I laid out the process of setting up TensorFlow for CPU based model training. However, as this graph shows, the GPU is significantly faster at this process. That’s why I’m documenting my attempt to install the GPU based version of TensorFlow on an HPC.

Effectiveness of GPU vs CPU in Model Training

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TensorFlow – Car Model Identification

May 13, 2019

AUTHOR: Andre Foote

What is TensorFlow?

Google’s TensorFlow is an open source software library for numerical computation. It contains several frameworks that allow for quick and simplified implementation of machine learning models and algorithms. Its Object Detection API is a framework that makes it easy to construct, train and deploy object detection models.

This guide shows how to apply this framework to the compcars dataset in order to train a model that is capable of identifying car models. Due to the large size of the dataset and number of classes being trained for, many of the steps included in other tutorials that can be performed manually are automated instead using bash scripts.

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How To Select Right Deep Learning Model For Object Detection Applications

May 10, 2019

AUTHOR: manhnh

I. Introduction

There are many modern object detectors such as Faster R-CNN, R-FCN, Multibox, SSD and YOLO, which are good enough to be deployed in consumer products (e.g. Google Photos, Pinterest Visual Search) and some have been shown to be fast enough to be run on mobile devices. Because of its varieties, it sometimes makes us hard to choose the one that fit to our applications. This blog will cover basic information about these models and making comparison among them to help you make decisions more easily.

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Detailed Roadmap for Tensorflow Object Detection API

April 12, 2019

AUTHOR: manhnh

I am writing blog here where you can use the Object Detection API to train your own images which is called customize image training (transfer learning). In this post, I will explain all the necessary steps to train your own detector as my first experience in Machine Learning field. This is the basic post so that we all get used to Object Detection API. For getting more comprehensive knowledge about Tensorflow Object Detection API, we could check the videos in the reference part of this post.

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ThinkLABs JSC đạt Top 50 doanh nghiệp AI khởi nghiệp toàn cầu tại AIxIOTxSMARTCITY, Đài Loan

March 25, 2019

AUTHOR: Huyen Bui

ThinkLABs JSC là một trong 50 đội chiến thắng của AI 50: AI x IoT x Smart City, một sáng kiến của Hội nghị thượng đỉnh và triển lãm thành phố thông minh 2019 diễn ra tại Đài Loan. Sự kiện có sự góp mặt của 50 công ty khởi nghiệp AI / IOT từ khắp nơi trên thế giới, trưng bày các ứng dụng tiên tiến nhất trong các thành phố thông minh.

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ThinkLABs JSC is selected as one of the top 50 Global AI Startups by AIxIoTxSmartCity, Taiwan Initiative

March 25, 2019

AUTHOR: Huyen Bui

ThinkLABs JSC is one of the winners of the AI 50: AI x IoT x Smart City, an initiative by 2019 Smart City Summit and Expo, Taiwan. The event featured 50 AI/IOT startup companies from around the globe, showcasing the most cutting edge applications in smart cities.

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