This collection of articles is primarily focused on exploring various topics in the field of artificial intelligence, including Deep Learning, Generative AI, Reinforcement Learning, Meta-Learning, and Machine Learning. The objective of this write-up is to provide readers with a comprehensive index of the series and articles that I have written so far. In case you have any technical questions, please do not hesitate to leave a comment in the corresponding articles. Moreover, if you would like to connect with me, my profile is available on LinkedIn (Jonathan Hui). In addition, for frequently asked questions, please refer to the F.A.Q section.
Deep Reinforcement Learning Series
This is one of the biggest Series that I want to tackle next: Deep Reinforcement Learning. This is an outline of the…
Speech Recognition Series
In this speech recognition series, we start our discussion with the basic phonetics. In the first article, we…
TensorFlow 2 Series
In this series, we cover major topics in deep learning coding with TensorFlow 2 — for computer vision, NLP, and…
AI Chips Series
In this series, we look into the technology landscape and trends of the AI chips.
AI Bias & Fairness Series
A good video lecture on an AI topic may be watched by hundreds of thousands of people. But a nice lecture on AI…
QC — Quantum Computing Series
This series covers the basics of quantum computing. The first 2 articles cover the basics followed by how it is built…
Not part of a series yet
Is the drawing above a portrait of a young lady or an old lady? Such optical illusion needs special skills to create in…
Buy a Deep Learning Computer — David v.s. Goliath
MVP in the tech world is not “Most Valued Player”. Minimum Viable Product (MVP) means testing out hypotheses, finding…
Deep Learning Software Setup with GPU
Open-source platform rules DL. However, setting up open-source software can be a “Plug and Pray” experience. The lack…
Mixed Precision in Deep Learning
In our last article, we discuss how to purchase a deep learning computer. Insider the article, mixed-precision is…
I would like to extend my sincere appreciation for the encouraging feedback I have received from my readers. My blog serves a dual purpose for me: firstly, by explaining complex technologies in a simple and understandable way, I expose myself to new perspectives that I may not have considered before. Secondly, I refer back to my notes to reinforce my understanding of these topics. I’m thrilled if it also aids you in your individual journey.
How can I connect with you professionally?
It would be my pleasure to connect with you on LinkedIn, where my profile can be found under the name Jonathan Hui. With regard to unsolicited or promotional emails, I have a general tendency to refrain from responding unless I am personally familiar with the sender.
Where is the source code?
As a general policy, I do not provide source code for my work. This is primarily due to the fact that providing support for those codes can be extremely challenging, if not impossible, for me to manage effectively.
Credits & References
Having observed a greater number of misuses of my work than I had anticipated, I would like to request that my work be used exclusively for educational and non-commercial purposes. When my work includes third-party diagrams, I usually provide a caption that includes a link to the original source. If I have inadvertently neglected to include an external link, kindly inform me in the comment section of the article. It is safe to assume that I am the author if there are no captions. Sadly, I have discovered that my diagrams have sometimes been attributed to others who do not give the proper credit. Therefore, I would like to kindly ask that proper recognition be given to the original creators.
What is your professional work?
After encountering some peculiar incidents, I made the decision to implement a general policy of refraining from discussing any work-related matters over email or LinkedIn.