💬 ชาวเน็ตแห่แชร์: tag/deeplearning - สรุปดราม่าล่าสุด

Level UI • 1 day • in Articles • 9 min read

An MCP server is not a new API. It is a thin layer over the one you already have

Somewhere in the last year, "do we need an MCP server?" joined the list of questions that arrive in a brief before anyone has said what the thing is for. It is usually framed as MCP vs API, as though the Model Context Protocol were a newer kind of AP...

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Ruvarashe S Nemaramba • 3 days • in Articles • 3 min read

The New ML Perspective

Artificial intelligence seems like a very complex thing packaged in a simple box. It's this magic concept of creating intelligence from something that otherwise wouldn't have any intelligence at all. Giving machines, just a bunch of 1s and 0s, electr...

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Ruvarashe S Nemaramba • Oct 23 • in Articles • 9 min read

Machine Learning VS Deep Learning: What’s the Difference?

Artificial Intelligence AI is the new thing on the street. Everyone is talking about it, and everyone wants to be part of it in one way or another. From chatbots that can hold conversations to self-driving cars and systems that can help detect diseas...

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Hussein Mahdi • Oct 14 • in Discussions • 1 min read

Where do squared error and cross-entropy actually come from?

forumDiscussion group4 participants

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Audrine Marion • Sep 23 • in Articles • 10 min read

Neural Networks: Inspired by the Brain, Built for Data

When I first started learning about neural networks, I found the idea both fascinating and slightly intimidating. The phrase “neural network” makes it sound like something extremely complex, and honestly, once you start looking at layers, weights, a...

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Hussein Mahdi • Sep 13 • in Articles • 5 min read

Predicting Drug-Drug Interactions with Hypergraphs — on Two CPU Cores

When a patient takes several medications at once, two of them can interact in ways that cause real harm. DrugBank catalogues 86 distinct mechanisms for how this happens — one drug slowing another's metabolism, increasing its toxicity, blunting its ef...

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Hussein Mahdi • Sep 7 • in Articles • 5 min read

The Math Behind Neural Networks, Explained Like Nobody Did for Me — Part 1.4

Part 1.4 — Which Loss to Choose, and Why. A calm, sequential guide for anyone entering the field. The article is divided into smaller chapters to make it easier to understand. Part 1.3 ended on a quiet victory. The mean squared error, which we had s...

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AIAppsAPI • Aug 23 • in Articles • 3 min read

How AI Models Actually Learn, From Random Weights To Reinforcement

Most of us here ship code against model APIs every day without ever having trained one, and that gap shows up the moment a model does something the docs do not explain. This is the mental model I wish I had earlier, written for developers rather than...

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Hussein Mahdi • Aug 18 • in Articles • 4 min read

The Math Behind Neural Networks, Part 1.3 — Where the Loss Function Comes From

A calm, sequential guide for anyone entering the field. The article is divided into smaller chapters to make it easier to understand. Part 1.2 left us with a working method but an unexamined assumption. We had a loss, the mean squared error, and we ...

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Hussein Mahdi • Jul 27 • in Articles • 4 min read

The Math Behind Neural Networks, Explained Like Nobody Did for Me - Part 1.2

A calm, sequential guide for anyone entering the field, The article will also be divided into smaller chapters to make it easier to understand. Part 1.2: The Mathematics of Learning Part 1.11 ended at a precise standing point: we had built a model...

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Hussein Mahdi • Jul 24 • in Articles • 3 min read

The Math Behind Neural Networks, Explained Like Nobody Did for Me

A calm, sequential guide for anyone entering the field. The article is divided into smaller chapters to make it easier to understand. Deep learning can feel overwhelming at first. You encounter words like gradient, derivative, loss function, activat...

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elysianx • Jul 16 • in Articles • 4 min read

Understanding Backpropagation with micrograd — Principles, Intuition, and Pitfalls I Ran Into

> I had heard about backpropagation many times, but I never really understood how it actually worked. When someone asked me what backpropagation was, all I could say was, "It's how neural networks learn… I guess?" > I'd seen the formulas, I knew the...

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codexkuro • Jul 4 • in Articles • 2 min read

My Machine Learning Journey

Back then, I was just a kid who used to play a lot of games. But as I grew up, I realized that I needed a goal. So, I decided to be productive and search for something that will be beneficial for my future. And from that thought, I was interested to ...

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Unni Mana • May 11 • in Videos • 1 min read

Teach Computers to Think: Simple AI Trick Explained

Teach Computers to Think: Simple AI Trick Explained — Learn a practical, beginner-friendly method to make machines reason like humans using a single, powerful idea. This video breaks down a simple AI trick that accelerates learning and improves model...

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gradienninja • May 2 • in Articles • 4 min read

I Built an AI That Detects Pneumonia From Chest X-Rays Here's Exactly How I Did It

A few weeks ago, I shipped PneumoScan AI a deep learning model that analyzes chest X-ray images and detects pneumonia in seconds, with 90%+ accuracy. It's live, it's free, and anyone can use it right now. pneumonia-scan-ai.netlify.apphttps://pneum...

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Urooj Fatima | EE Student • May 1 • in Launches • 1 min read

Fashion-ID: Smart Image Classification

Empowering E-commerce with Automated Fashion Recognition...

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Derrick Ryan • Dec 2, 2025 • in Articles • 5 min read

Fundamentals of Large Language Models: Understanding LLM Architectures

What is an LLM? An LLM Large Language Model is fundamentally a probabilistic model that predicts distributions over vocabulary tokens. At its core, an LLM understands a fixed set of words called a vocabulary and assigns probabilities to each word a...

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Ezinne Anne Emilia • May 23, 2025 • in Articles • 4 min read

How I Built and Compared a Custom CNN vs MobileNetV2 for Boat Image Classification

Hello everyone! How are you all doing? Today, I want to share a mini story about my experience completing a deep learning assignment—part of my DeepTechReady Week 2 Challenge, where I built and compared two models: a Custom CNN and a MobileNetV2 for...

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okerew • Mar 20, 2025 • in Articles • 4 min read

The Emergence of Memory exploiting along with explaining the ai architecture behind it

Introduction AI models optimized for problem-solving and meta-cognition may unintentionally exploit vulnerabilities in system memory, resulting in security risks. During testing, unexpected behaviors were observed, including the appearance of litera...

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Mohit Goyal • Feb 25, 2025 • in Articles • 5 min read

Transformer-Squared: The Next Evolution in Self-Adaptive LLMs

When I first encountered Transformer-Squared Transformer² technology, I was skeptical. Could yet another iteration of language models change the game? After diving deep into the research papers and speaking with AI engineers implementing these syste...

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Mohit Goyal • Jan 14, 2025 • in Articles • 5 min read

A Roadmap for Scaling Search and Learning in Reinforcement Learning

Introduction Reinforcement learning RL has emerged as a powerful paradigm for training agents to make decisions in complex environments, achieving remarkable success in game-playing and robotics. However, the journey towards more general and capable...

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