#deeplearning

Max reasoning should mean best results, right? 🤔 Not always. Claude Sonnet 5.5 wrote less mergeable code at max than at xhigh, one level below, while using more tokens than any model measured. 🧪 Test your settings before you trust them. 📬 #DeepLearningAI #AIEngineering #AIAgents

📰 Missed a few days of AI news? Here's what happened this week in Data Points, our twice-weekly newsletter. 👇 🔐 PHP2Shell: GPT-5.6 Sol helped find a memory bug in software running up to 70% of sites. Patch is out. Update now. ⚡ MiniMax M3.1 Flash: 428B total / ~23B active, 1M context, 0.15/0.60 per million tokens. Weights due Oct 23. 🔌 Meta's Muse Wonder: 4/20 per million tokens, OpenAI compatible endpoint. Trying it = new base URL + model name. No full safety report yet. 🐍 Python 3.15 is out, 3.10 is end of life. Lazy imports (PEP 810), unpacking in comprehensions (PEP 798), sampling profiler in the stdlib. 🏛️ GPT-6.1 Sol achieved 97.9% byte for byte output parity migrating COBOL at higher effort. GPT-5.6 Sol only scored 5.4% at low effort. Expert review still required. 📬 Subscribe to Data Points: #DeepLearningAI #AIEngineering #SoftwareEngineering

Have you ever wanted a guide that explains how to maximize results with #DeepLearning? Introducing The Deep Learning Tuning Playbook, which describes a systematic approach to training and tuning neural networks. Check it out ↓

Andrew Ng's framework for building AI-native engineering teams, from this week's letter in The Batch: 👥 People 🚀 Projects 🧱 Platforms 🔄 Processes His core point: building is now fast, so choosing what to build is the bottleneck. 📬 #DeepLearningAI #AIEngineering #EngineeringLeadership

#DeepLearning analysis of sinus-rhythm echocardiography for the identification of patients with #AFib #EHJDigital #eHealth @BruiningNico @rafavidalperez @fwasselbergs @rbcasado @EHRAPresident

A core challenge in #DeepLearning is the disconnect between the theory of how models generalize and how they perform in practice. A new theoretical framework demonstrates how to understand model generalization through optimization behavior. Check it out at

The Neural Network Zoo Image : The Asimov Institute #AI #MachineLearning #DeepLearning #BigData #Datascience #Fintech #Insurtech #ML #DL #Robotics #HealthTech #NeuralNetworks #martech #tech

Join Andrew Ng at AI Dev NYC for two days of technical sessions and workshops. Explore AI engineering skills and how to apply them, from practice to production. Get tickets ->

Save $100 off the ticket price with code X100. Limited time only.

Deep Learning with Python - Final PDF eBook Edition available now! pBook available Dec 6 @fchollet #deeplearning #python -- Check out the #liveBook:

Yoshua Bengio, Geoffrey Hinton and Yann LeCun, the fathers of #DeepLearning, receive the 2018 #ACMTuringAward for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing today.

Forward vs Backpropagation | How Neural Networks Learn | CodeGenus Bytes Discover how neural networks train by sending data forward to make predictions and passing error gradients backward to update weights. #DeepLearning #Backpropagation #TechInterview #CodeGenusBytes

Introduction to Deep Learning. It is a key technology behind many modern advancements in artificial intelligence (AI), enabling machines to perform complex tasks. #DeepLearning #ArtificialIntelligence #DataScience #AIResearch #SmartTechnology

🚀 Build your AI engineering skills at AI Dev NYC. Learn from OpenAI and Hugging Face speakers, plus Andrew Ng’s keynote on the AI Engineering Skills Map and his fireside chat with Yann LeCun on world models. 📍 Nov 30–Dec 1 · Chelsea Piers, NYC

How Gradient Descent Works | Deep Learning Essentials | CodeGenus Bytes Master the core optimization algorithm of machine learning—understand weights, biases, learning rates, and avoiding local minima. #DeepLearning #GradientDescent #MathForML #TechInterview #CodeGenusBytes

A Concise Guide to AI & Machine Learning Use Cases @SpirosMargaris @JimMarous @ipfconline1 @drlindekilde @BrettKing #AI #MachineLearning #DeepLearning #BigData #Fintech #Insurtech #Marketing #Datascience #ML #DL #Robotics #HealthTech #IoT #tech

AI for Medicine. 3 courses. 57K+ professionals. 4.7 stars. 🧠 Medical imaging, NLP, risk modelling 🛠️ Hands-on with real medical data ⭐ 2.4K+ reviews by

Great resource for everyone who is interested in a career in Deep Learning: Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI #deeplearning #free #opensource #ai #machinelearning #interviews

Benchmarked our new TitanX. On our RNN kernel: 10.8 TFlops! @ctnzr @nvidia #DeepLearning #TITANX

“Go with the Flow” Trailer for my Flow Matching lecture, coming this winter to my #DeepLearning course 🎬

Collection of essential cheat sheets for #machinelearning and #deeplearning