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We've added 15 new Computer Vision problems. revise your concepts by coding them out: > max pooling > image rotation > gaussian blur kernel > sobel edge detection > image histogram > 2D convolution > IoU > Non-maximum supression etc

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TensorTonic

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35,039 görüntüleme • 5 ay önce •via X (Twitter)

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Most awaited Optimization techniques in Machine Learning module is out! We've covered the fundamentals of - > SGD variants > Convex vs Non-Convex > Momentum & Nesterov acc. > Adam, RMSprop > Loss landscapes > Regularization > Batch Norm > Newton's method & lagrange
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Most awaited Optimization techniques in Machine Learning module is out! We've covered the fundamentals of - > SGD variants > Convex vs Non-Convex > Momentum & Nesterov acc. > Adam, RMSprop > Loss landscapes > Regularization > Batch Norm > Newton's method & lagrange

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Our final module is out! We've covered the fundamentals of Information theory. topics include - > shannon entropy > KL divergence > information gain (decision trees) > mutual information > cross entropy loss > GANs training > Jensen-Shannon Divergence > Perplexity
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Our final module is out! We've covered the fundamentals of Information theory. topics include - > shannon entropy > KL divergence > information gain (decision trees) > mutual information > cross entropy loss > GANs training > Jensen-Shannon Divergence > Perplexity

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we have released more blogs today on calculus fundamentals for machine learning and their interactive simulations. some of them includes - > backprop and gradient descents > local minima/saddle points > vector fields > taylor series > jacobian and hessian > partial derivatives
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we have released more blogs today on calculus fundamentals for machine learning and their interactive simulations. some of them includes - > backprop and gradient descents > local minima/saddle points > vector fields > taylor series > jacobian and hessian > partial derivatives

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New open source image model called Mage-Flow by Microsoft. > Supports image generation and editing. > Lightweight 4B model with 4-step turbo variants. > Free and open-source, MIT license.
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New open source image model called Mage-Flow by Microsoft. > Supports image generation and editing. > Lightweight 4B model with 4-step turbo variants. > Free and open-source, MIT license.

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Don't miss out 🎤 YouTube star Max Fosh brings new show Loophole on tour. Grab your tickets 🎟️ >> Max Fosh
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Don't miss out 🎤 YouTube star Max Fosh brings new show Loophole on tour. Grab your tickets 🎟️ >> Max Fosh

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> Upload your ad comments into ChatGPT > Rank objections by most popular > Get Claude to write a Facebook ad script addressing the objection > Make a comment response ad out of it and thank me later We've made 4 of these so far and 3 have worked
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> Upload your ad comments into ChatGPT > Rank objections by most popular > Get Claude to write a Facebook ad script addressing the objection > Make a comment response ad out of it and thank me later We've made 4 of these so far and 3 have worked

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Nitin Gadkari told ; we will spend ₹ 65000 Crore & make Delhi pollution free by end of 2025 His past promises are : > Making all Indian roads like USA > Flying Buses > Ethanol usage in Cars etc No need to say, non of them are fulfilled 🤗
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Nitin Gadkari told ; we will spend ₹ 65000 Crore & make Delhi pollution free by end of 2025 His past promises are : > Making all Indian roads like USA > Flying Buses > Ethanol usage in Cars etc No need to say, non of them are fulfilled 🤗

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Beep beep, new Bret Weinstein medical advice has come in. -> Getting measles is good for you -> Measles protects you from other diseases -> Your child won't be in danger of getting harmed by measles as long as you protect them from WiFi radiation and offgassing
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Beep beep, new Bret Weinstein medical advice has come in. -> Getting measles is good for you -> Measles protects you from other diseases -> Your child won't be in danger of getting harmed by measles as long as you protect them from WiFi radiation and offgassing

bad_stats 🕜💵🖨️🕣

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Galeria 1 is now available – an image viewer for React (+ Native) → New Architecture Support → Stable web support → Bring-your-own-image component Automatic support for: solito/image, next/image, expo-image, react-native-fast-image, web <img />
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Galeria 1 is now available – an image viewer for React (+ Native) → New Architecture Support → Stable web support → Bring-your-own-image component Automatic support for: solito/image, next/image, expo-image, react-native-fast-image, web <img />

Fernando Rojo

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Check out our new paper that turns a (single image) => (interactive dynamic scene)! I’ve had so much fun playing around with this demo. Try it out yourself on the website:
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Check out our new paper that turns a (single image) => (interactive dynamic scene)! I’ve had so much fun playing around with this demo. Try it out yourself on the website:

Aleksander Holynski

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CAT3D + time => CAT4D! 🐈 Check out our latest work on turning text/image(s)/video into dynamic 3D models that one can explore in real time, led by brilliant Rundi Wu!
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CAT3D + time => CAT4D! 🐈 Check out our latest work on turning text/image(s)/video into dynamic 3D models that one can explore in real time, led by brilliant Rundi Wu!

Ruiqi Gao

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I created a web app for teaching computer vision basics, allowing users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats. It features predefined convolution kernels applied in real-time: - Sobel operator for edge detection (computes gradients to highlight boundaries) - Gaussian Blur: averages neighboring pixels with weights to reduce noise - Sharpen: boosts local contrast to enhance details This setup clearly visualizes how images are represented as matrices or tensors, how convolution slides kernels across pixels, and how operations like gradient computation, blurring, or sharpening modify the data step-by-step. I plan to use demos like this in my upcoming computer vision course to build intuition for fundamental image processing concepts, OpenCV filters, and CNN building blocks (e.g., why kernels extract features).
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I created a web app for teaching computer vision basics, allowing users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats. It features predefined convolution kernels applied in real-time: - Sobel operator for edge detection (computes gradients to highlight boundaries) - Gaussian Blur: averages neighboring pixels with weights to reduce noise - Sharpen: boosts local contrast to enhance details This setup clearly visualizes how images are represented as matrices or tensors, how convolution slides kernels across pixels, and how operations like gradient computation, blurring, or sharpening modify the data step-by-step. I plan to use demos like this in my upcoming computer vision course to build intuition for fundamental image processing concepts, OpenCV filters, and CNN building blocks (e.g., why kernels extract features).

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If you've made >100 images with Midjourney you can now help us alpha-test image creation on our website. We've also added a 'rooms' feature where you can create in real-time with people around the world. Give it a shot and let us know what you think!
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If you've made >100 images with Midjourney you can now help us alpha-test image creation on our website. We've also added a 'rooms' feature where you can create in real-time with people around the world. Give it a shot and let us know what you think!

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Introducing Diagnose and Debug. Give your agent first-party backend context: health metrics, logs, errors, database checks, and more. Your coding agent catches backend issues now, then fixes them by working with your dedicated InsForge debugging agent. Agent <> Agent.
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Introducing Diagnose and Debug. Give your agent first-party backend context: health metrics, logs, errors, database checks, and more. Your coding agent catches backend issues now, then fixes them by working with your dedicated InsForge debugging agent. Agent <> Agent.

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My brother and I just launched an app! Nutrify, a Pokédex for food 📸 -> 🍍 Nutrify uses computer vision to identify different foods and display information about them. Try it on the iOS App Store for free today! Check out the launch video too! (more links below)
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My brother and I just launched an app! Nutrify, a Pokédex for food 📸 -> 🍍 Nutrify uses computer vision to identify different foods and display information about them. Try it on the iOS App Store for free today! Check out the launch video too! (more links below)

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The mysterious #Toyota GT Concept. Destined to be the new flagship sports road car for Toyota, followed by the brand new GT racing concept. These two took on the #FOS Hill together creating a harmonious sound for the first time ever in front of crowds, piloted by three-time #LeMans winner Kazui Nakajima. We don't have much information on them yet but we are very much looking forward to finding out more in the future... Are you following along on our livestream? ToyotaUK
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The mysterious #Toyota GT Concept. Destined to be the new flagship sports road car for Toyota, followed by the brand new GT racing concept. These two took on the #FOS Hill together creating a harmonious sound for the first time ever in front of crowds, piloted by three-time #LeMans winner Kazui Nakajima. We don't have much information on them yet but we are very much looking forward to finding out more in the future... Are you following along on our livestream? ToyotaUK

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Introducing SWE-grep and SWE-grep-mini: Cognition’s model family for fast agentic search at >2,800 TPS. Surface the right files to your coding agent 20x faster. Now rolling out gradually to Windsurf users via the Fast Context subagent – or try it in our new playground!
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Introducing SWE-grep and SWE-grep-mini: Cognition’s model family for fast agentic search at >2,800 TPS. Surface the right files to your coding agent 20x faster. Now rolling out gradually to Windsurf users via the Fast Context subagent – or try it in our new playground!

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We've released 10+ Linear Algebra concepts for Machine Learning! Here's one of the visualization how PCA identifies direction of maximum variance.
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We've released 10+ Linear Algebra concepts for Machine Learning! Here's one of the visualization how PCA identifies direction of maximum variance.

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GT Protocol AI Digest No.81: AI Moves Deeper Into Everyday Platforms Here are five stories worth your attention 👇 🩺 Copilot Health Connects Medical Data Microsoft introduced Copilot Health, an AI assistant that can connect to medical records and wearable devices. The system aims to help doctors and patients interpret health data more easily and monitor conditions over time. 📊 Gemini Expands Across Google Workspace Google is integrating Gemini more deeply into Docs, Sheets, and Slides. The assistant can help generate documents, analyze spreadsheets, and build presentations, turning everyday productivity tools into AI-powered workspaces. 💬 AI Auto-Replies Come to Facebook Marketplace Meta added AI-generated replies for common buyer messages like “Is this still available?” on Marketplace listings. The feature automatically responds to routine questions, reducing the time sellers spend answering repetitive messages. 🛡 YouTube Expands Deepfake Detection YouTube is extending its AI-powered likeness detection tools to protect politicians and journalists. The system aims to identify videos that imitate someone’s voice or appearance without permission. 🎨 Canva Adds Layers to AI Designs Canva introduced editable layers for AI-generated visuals. Instead of regenerating an entire image, users can now adjust individual elements, bringing AI creation closer to traditional design workflows. Read the full digest 👉
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GT Protocol AI Digest No.81: AI Moves Deeper Into Everyday Platforms Here are five stories worth your attention 👇 🩺 Copilot Health Connects Medical Data Microsoft introduced Copilot Health, an AI assistant that can connect to medical records and wearable devices. The system aims to help doctors and patients interpret health data more easily and monitor conditions over time. 📊 Gemini Expands Across Google Workspace Google is integrating Gemini more deeply into Docs, Sheets, and Slides. The assistant can help generate documents, analyze spreadsheets, and build presentations, turning everyday productivity tools into AI-powered workspaces. 💬 AI Auto-Replies Come to Facebook Marketplace Meta added AI-generated replies for common buyer messages like “Is this still available?” on Marketplace listings. The feature automatically responds to routine questions, reducing the time sellers spend answering repetitive messages. 🛡 YouTube Expands Deepfake Detection YouTube is extending its AI-powered likeness detection tools to protect politicians and journalists. The system aims to identify videos that imitate someone’s voice or appearance without permission. 🎨 Canva Adds Layers to AI Designs Canva introduced editable layers for AI-generated visuals. Instead of regenerating an entire image, users can now adjust individual elements, bringing AI creation closer to traditional design workflows. Read the full digest 👉

GT Protocol

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