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298 stories

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What's happening with deep learning tutorials

We're tracking 298 stories on deep learning tutorials across 42 sources — it's actively developing right now, with 6 published in the last 24 hours. 3 stories have been corroborated by 3+ independent outlets. The most-covered angle right now: IIT Kanpur Announces 5-Week Certificate Programme On Python For Artificial Intelligence, Deep Learning (10 sources).

Synthesized live from 42 sources · updated every 15 minutes

298 stories
1 of 5 Top Stories
Input Manipulation Attack (ML-01)
Media

Input Manipulation Attack (ML-01)

by Abhik — A deep learning model can be misled by subtle, carefully designed modifications to real-world objects — changes that appear relatively…

Medium faviconMedium·
Demystifying Quantization in Deep Learning: From Floating-Point Numbers to Efficient Integer…
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Demystifying Quantization in Deep Learning: From Floating-Point Numbers to Efficient Integer…

by Saurav Rai — AI (Deep learning) models are powerful, but deploying them efficiently on real-world hardware comes with its own challenges. One important…

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The Python Data Stack Quietly Rewrote Itself in 2026 (Here’s What to Actually Use)
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The Python Data Stack Quietly Rewrote Itself in 2026 (Here’s What to Actually Use)

by Nirav Vaghasiya — Rust ate the tooling, PyTorch won deep learning, and half the libraries you learned are now legacy. A practitioner’s map.

Towards AI faviconTowards AI·
RelatedPyTorch
A Night of Sleep Could Reveal More About Heart Risk Than We Realized
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A Night of Sleep Could Reveal More About Heart Risk Than We Realized

by cv666 — An October 9 NIH report explores how deep learning can find long-term cardiovascular signals in ECG data already collected during sleep…

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Deep AI Learning Part 2: Building Neurons, Layers, and the Training Loop
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Deep AI Learning Part 2: Building Neurons, Layers, and the Training Loop

by Vassiliki Dalakiari — How to teach a neural network to learn by building a custom Multi-Layer Perceptron and writing a Gradient Descent training loop using the…

ITNEXT faviconITNEXT·
P-6. Loss Functions in Deep Learning, Explained So Simply You Will Never Forget Them
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P-6. Loss Functions in Deep Learning, Explained So Simply You Will Never Forget Them

by Jamal Pasha — A beginner-friendly guide to how a neural network knows it is wrong, and how it learns from that.

Medium faviconMedium·
How Did I Write My First FlashAttention Kernel in CUDA ?
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How Did I Write My First FlashAttention Kernel in CUDA ?

by MrPickle — From demystifying the online softmax trick to hitting a 41.6x speedup on an NVIDIA RTX 4050 GPU — a beginner’s hands-on journey into hardware-aware deep learning.Transformers have completely reshaped...

Towards AI faviconTowards AI·
The Architecture of Intent: How E-Commerce Giants Reshape Recommendations the Moment You Search
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The Architecture of Intent: How E-Commerce Giants Reshape Recommendations the Moment You Search

by surya dev — Inside the Multi-Stage Deep Learning Pipelines Balancing Time-Decay, Semantic Embeddings, Heavy Neural Rankers, and Contextual Bandits at…

Medium faviconMedium·
Topological Deep Learning and Persistent Homology: Learning the Shape of Data Across Scales
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Topological Deep Learning and Persistent Homology: Learning the Shape of Data Across Scales

by Izzet Can Sorna — Day 38 of an ongoing daily series on advanced machine learning concepts

Medium faviconMedium·
Why You Keep Forgetting Kubernetes (and a 30-Minute Daily System That Fixes It)
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Why You Keep Forgetting Kubernetes (and a 30-Minute Daily System That Fixes It)

by SOVANNARO — Watching tutorials feels like progress. For DevOps, it usually isn’t. Here is a simple routine that turns learning into skill.

Medium faviconMedium·
Deep Learning: Understanding Tensors with PyTorch
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Deep Learning: Understanding Tensors with PyTorch

by Nemat — In my previous article, I explored neural networks and how they learn from data.

Medium faviconMedium·
RelatedPyTorch
Deep Dive #1: Machine Learning vs. Deep Learning — How Computers Actually Learn
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Deep Dive #1: Machine Learning vs. Deep Learning — How Computers Actually Learn

by Sai Sravya Thumati — Understanding algorithms, manual feature engineering vs. neural networks, and how to choose the right approach for real-world problems.

Artificial Intelligence in Plain English faviconArtificial Intelligence in Plain English·
Papers Explained 636: DR Tulu
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Papers Explained 636: DR Tulu

by Ritvik Rastogi — DR Tulu-8B is the first fully open deep research agent trained end-to-end for open-ended, long-form tasks using Reinforcement Learning…

Medium faviconMedium·
Deep Reinforcement Learning: From Bandits to Bellman
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Deep Reinforcement Learning: From Bandits to Bellman

by Abishek M — Training an AI is remarkably similar to training a dog — you reward the behaviors you want and ignore the ones you don’t. This is the…

Medium faviconMedium·
Forecasting India's Port Cargo: Why a Simple Lasso Model Beat Deep Learning
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Forecasting India's Port Cargo: Why a Simple Lasso Model Beat Deep Learning

by Prusty Gopal — Building an end-to-end, leakage-free forecasting system across 11 Major Public Port Authorities for India’s national maritime supply chain

Medium faviconMedium·
Overfitting vs. Underfitting en Machine Learning: cómo detectar el problema y mejorar tu modelo
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Overfitting vs. Underfitting en Machine Learning: cómo detectar el problema y mejorar tu modelo

by Gladys Choque Ulloa — Por PhD(c). Gladys Choque Ulloa Ciencia de Datos · Estadística · Machine Learning · Deep Learning

Medium faviconMedium·
Beyond the Hands: Why Teaching AI to Recognize Sign Language Is More Complicated Than It Looks
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Beyond the Hands: Why Teaching AI to Recognize Sign Language Is More Complicated Than It Looks

by Dawnena Key — Building a PhD in Public Part 2: Deep Learning, Sign Language, and Accessible AI

Medium faviconMedium·
Your Spam Filter in Three Versions: AI, Machine Learning, and Deep Learning
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Your Spam Filter in Three Versions: AI, Machine Learning, and Deep Learning

by Christos Adam Lee — Follow one familiar task from human-written rules to learned models, then see why the mistakes matter.

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Frequently Asked Questions

What is deep learning tutorials?

deep learning tutorials is a trending topic in artificial intelligence. Best AI News Today aggregates the latest news and developments about deep learning tutorials from over 30 sources including research papers, tech publications, and community discussions.

What are the latest news about deep learning tutorials?

As of today, there are 298 recent stories about deep learning tutorials. Recent headlines include: Input Manipulation Attack (ML-01); How Did I Write My First FlashAttention Kernel in CUDA ?; Papers Explained 636: DR Tulu. This page is updated every 15 minutes with the latest coverage.

Where can I find deep learning tutorials discussions?

You can find deep learning tutorials discussions on Reddit AI communities, Hacker News, and other tech forums. Best AI News Today aggregates discussions from these platforms alongside research publications and tech media coverage.