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. …

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…

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 →…

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…

#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…

#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…

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…

# 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…

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!! …