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Park Chansung
Park Chansung

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Published in Towards Data Science

·Aug 11, 2021

Adapting to changes of data by building MLOps pipeline in Vertex AI

This post shows how to build a machine learning pipeline for object detection tasks. The objective is to demonstrate how to realize MLOps to prepare data drift situations using Vertex AI’s AutoML and Cloud Function. — Motivation I have a three year old daughter, and I realized that her face is continuously changing so dramatically month by month. Google photo is already doing an excellent job to recognize faces by tracking changes in people’s faces. However, I figured that I could go even further like classifying pictures…

Mlops

13 min read

Adapting to changes of data by building MLOps pipeline in Vertex AI
Adapting to changes of data by building MLOps pipeline in Vertex AI
Mlops

13 min read


Published in Google Developer Experts

·May 11, 2021

MLOps: Big Picture in GCP

Twitter has become the most important platform for various people to get recent news since famous theorist, practitioners, etc. in your interest are continuously posting what they have found, built, and more. I believe I am not the only one who retweets whenever I encounter interesting tweets. I tell myself…

Machine Learning

14 min read

MLOps: Big Picture in GCP
MLOps: Big Picture in GCP
Machine Learning

14 min read


Published in Towards Data Science

·Jul 26, 2018

YOLOv2 to detect your own objects using Darkflow

The previous story before this one shows the most basic usage about Darkflow which is one of the implementation of YOLOv2 object detection model. This story introduces the basic steps for object detection on your custom dataset. As an example, I did it myself for soccer ball detection. In brief…

Object Detection

5 min read

YOLOv2 to detect your own objects (soccer ball) using Darkflow
YOLOv2 to detect your own objects (soccer ball) using Darkflow
Object Detection

5 min read


Published in Towards Data Science

·Jul 2, 2018

YOLOv2 object detection using Darkflow

This story introduces how object detection can be done. It will be helpful if you plan to build an application which benefits from object detection. YOLOv2 algorithm is used behind the scene. However, I have used open source implementation, “Darkflow”, so you don’t need to worry about the detail. You…

Deep Learning

4 min read

YOLOv2 object detection using Darkflow
YOLOv2 object detection using Darkflow
Deep Learning

4 min read


Published in Towards Data Science

·Jun 12, 2018

Transfer Learning in Tensorflow (VGG19 on CIFAR-10): Part 2

This is the second part of the Transfer Learning in Tensorflow (VGG19 on CIFAR-10). The first part can be found here. The previous article has given descriptions about ‘Transfer Learning’, ‘Choice of Model’, ‘Choice of the Model Implementation’, ‘Know How to Create the Model’, and ‘Know About the Last Layer’. …

Deep Learning

4 min read

Transfer Learning in Tensorflow: Part 2
Transfer Learning in Tensorflow: Part 2
Deep Learning

4 min read


Published in Towards Data Science

·Jun 7, 2018

Transfer Learning in Tensorflow (VGG19 on CIFAR-10): Part 1

Introduction The part2 of this story can be found here. This story presents how to train CIFAR-10 dataset with the pretrained VGG19 model. I will be using the VGG19 included in tensornets. The primary goals of this article are to understand the concept of transfer learning and what steps should be…

Deep Learning

6 min read

Transfer Learning in Tensorflow: Part 1
Transfer Learning in Tensorflow: Part 1
Deep Learning

6 min read


Published in Towards Data Science

·May 2, 2018

Seq2Seq model in TensorFlow

In this project, I am going to build language translation model called seq2seq model or encoder-decoder model in TensorFlow. The objective of the model is translating English sentences to French sentences. I am going to show the detailed steps, and they will answer to the questions likehow to define encoder…

Machine Translation

9 min read

Seq2Seq model in TensorFlow
Seq2Seq model in TensorFlow
Machine Translation

9 min read


Published in Towards Data Science

·Apr 17, 2018

CIFAR-10 Image Classification in TensorFlow

In this story, I am going to classify images from the CIFAR-10 dataset. This story covers preprocessing the image and training/prediction the convolutional neural networks model. Some of the code and description of this notebook is borrowed by this repo provided by Udacity, but this story provides richer descriptions. …

Deep Learning

15 min read

CIFAR-10 Image Classification in TensorFlow
CIFAR-10 Image Classification in TensorFlow
Deep Learning

15 min read


Mar 29, 2018

EN-FR Machine Translation with Various RNN Models in Google CoLab (1)

Within two parts of articles, I am going to implement deep learning model for English to French machine translation. The training data-set is borrowed from Udacity AI-ND (AI Nanodegree) program’s repository. Along the journey, I am going to use Google CoLab which gives cloud based jupyter notebook like environment. The…

Google Colab

8 min read

EN-FR Machine Translation with Various RNN Models in Google CoLab (1)
EN-FR Machine Translation with Various RNN Models in Google CoLab (1)
Google Colab

8 min read


Published in ITNEXT

·Mar 26, 2018

Comparable and Comparator in JAVA

Click here to share this article on LinkedIn » We encounter lots of situations to create our own classes (custom classes) when building programs to solve particular problems. For instance, A class representing a news article to hold information while crawling news websites can be an example. No matter what…

Programming

5 min read

Comparable and Comparator in JAVA
Comparable and Comparator in JAVA
Programming

5 min read

Park Chansung

Park Chansung

695 Followers

Software Developer eagering to become Data Scientist someday, Linkedin: https://www.linkedin.com/in/park-chansung-35353082/

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