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Che-Jui Huang
Che-Jui Huang

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Nov 15, 2022

AI For Medicine Study Notes

Part 2 of 3 : AI For Medical Prognosis — Background This series of articles does not cover the full aspect of the course contents. These articles serve as my personal opinion on what was important while taking the courses. However, the study notes do contain crucial concepts that I argue any AI practitioner should consider in their projects. …

6 min read

AI For Medicine Study Notes
AI For Medicine Study Notes

6 min read


Nov 6, 2022

AI For Medicine Study Notes

Part 1 of 3 : AI For Diagnosis — Background One of my interests in AI development is in the healthcare industry. Therefore, to get myself more prepared for future opportunities, I decide to take the AI for Medicine Specialization course offered by DeepLearning.AI. …

Ai For Healthcare

5 min read

AI For Medicine Study Notes
AI For Medicine Study Notes
Ai For Healthcare

5 min read


Oct 25, 2022

[NLP]Project Review: Text Difficulty Classification

Some lessons learned while implementing Machine Learning Algorithms — Background The goal of the project is to predict text difficulty from a given dataset. Unfortunately, I will not be able to share too many details about the data source and the codes our team implemented. However, I still believe that there are a few lessons that I feel are worth…

NLP

7 min read

[NLP]Project Review: Text Difficulty Classification
[NLP]Project Review: Text Difficulty Classification
NLP

7 min read


Jun 27, 2022

Introduction to Google Cloud Platform VertexAI AutoML

A Quick Start Guide To Train an AI Model — What is Vertex AI? Vertex AI is Google’s latest AI service that allows all levels of data scientists to build high-accuracy models. Vertex AI is a one-stop service for building AI solutions. In Vertex AI, a data scientist can Ingest data → Analyze Imported Datasets → Transform and Select Features → Model Training →…

3 min read

Introduction to Google Cloud Platform VertexAI AutoML
Introduction to Google Cloud Platform VertexAI AutoML

3 min read


Jun 15, 2022

Vanilla Generative Adversarial Networks

Implementation with TensorFlow2 Keras — Summary of Generative Adversarial Network Essentially, in the case of vanilla GANs, the entire architecture is composed of a generator and a discriminator. The goal of the generator is to create “Fake Data” that resembles the “Real Data” using the “Noise Vectors”. Whereas, the goal of the discriminator is to distinguish generated “Fake Data” from…

4 min read

Vanilla Generative Adversarial Networks
Vanilla Generative Adversarial Networks

4 min read


Apr 10, 2022

OpenVINO Pre-trained Model Application Demos

#OpenVINO #Pre-trained Model #AI Application In the previous “Introduction to OpenVINO”, I talked about what OpenVINO is, what it is capable of, how to get started, and performed integration with TensorFlow2. In today’s article, I would like to introduce some of the more practical applications that I built with the…

Openvino

3 min read

OpenVINO Pre-trained Model Application Demos
OpenVINO Pre-trained Model Application Demos
Openvino

3 min read


Mar 22, 2022

Introduction to OpenVINO

#Intel hardware #Intel Deep Learning #Optimization Toolkit From the previous article, I briefly introduced a Deep Learning Model Optimization with TensorFlow models. In that article, I demonstrated some results I found while trying out myself. Overall, with proper configuration and model quantization, I was able to produce models with smaller…

Openvino

5 min read

Introduction to OpenVINO
Introduction to OpenVINO
Openvino

5 min read


Mar 13, 2022

Briefly Diving Into Model Optimization (TensorFlow)

TLDR: After completing a few Medical Imaging Computer Vision projects with TensorFlow Keras, I decide to investigate a bit more on optimizing models. Within this article, I will briefly share my thoughts and study notes regarding the TensorFlow Optimization Toolkit. This article elaborates on the importance of LOW LATENCY and REDUCED…

5 min read

Briefly Diving Into Model Optimization (TensorFlow)
Briefly Diving Into Model Optimization (TensorFlow)

5 min read


Mar 2, 2022

Projects in Medical Imaging with TensorFlow 2.X and Keras

# Deep Learning # Medical Imaging # Image Classification # Image Segmentation # Object Detection Project Motivation: Since I have been studying a lot in deep learning (still a lot to catch up), I will like to apply all the techniques to my projects. My goal is to implement the models…

Medical Imaging

8 min read

Projects in Medical Imaging with TensorFlow 2.X and Keras
Projects in Medical Imaging with TensorFlow 2.X and Keras
Medical Imaging

8 min read


May 15, 2021

Python: ScrapyFromScript

Background: So I was asked to study the topic of “Web Scraping/Crawling” at work. Specifically, my task was to collect the entire text data based on a website domain which I have no idea how to start. Nonetheless, I had come across a python tool called SCRAPY!! …

Scrapy

2 min read

Python: ScrapyFromScript
Python: ScrapyFromScript
Scrapy

2 min read

Che-Jui Huang

Che-Jui Huang

12 Followers
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