Machine Learning
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The Reward Loop: How Agents Learn to Navigate the World through Reinforcement
Good morning! It is January 25th, and we are shifting g…
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Attention is All You Need: How Transformers Replaced the Sequence with the Relationship
Good morning! It is January 24th, and we’ve reached the…
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Through the Lens of Math: How CNNs Cracked the Code of Computer Vision
Good morning! It is January 23rd, and we are on Day 03 …
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From Perceptrons to Universal Approximators: Why We Stack Layers
This is Day 2 of my Machine Learning 10-Day Sprint Seri…
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Foundations of Intelligence: Why Linear Regression and KNN Still Matter in 2026
This is Day1 of my Machine Learning 10 Day Sprint.Today…
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DETR: Detection Transformer: See Object Detection as a Bipartite Matching Task
In this post, we’ll discuss a game changer in …
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Novel View Synthesis: NeRF, Instant NGP, and 3D Gaussian Splatting
The techniques of Neural Radiance Fields (NeRF), Instan…
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Diffusion Model Introduction (Denoising Diffusion Probabilistic Models)
From Video – Hung-Yi Lee The sculpture is already…
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Transformer: Attention is All You Need
In this post, we’re going to discuss the followin…
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Pre-train Alignment
This is a review of the course: 生成式AI時代下的機器學習(2025)】第五講…