Deep-ML’s Post

Day 89 of #100DaysOfCode - trained a model from scratch without following any tut - currently reading CNNs, computer vision - read "Gradient Descent Algo - a deep dive" article by Robert Kwiatkowski

Ever wondered what is the CAPTCHA all about abd how it works ? CAPTCHA stands for "Completely Automated Public Turing test to tell Computers and Humans Apart." It's a type of challenge-response test used in computing to ensure that the user is a human and not a bot. CAPTCHAs are designed to be easy for humans to solve but difficult for computers to crack. They are commonly used to prevent bots from spamming websites, registering for accounts, and submitting forms.

Going to NeurIPS and want to trade notes? Some topics I am paying attention to: - Cost-optimizing large batch inference - Cross-platform model optimization methods - Image-gen observability - Computer vision & document processing Send me a DM if interested.

Computer Vision: Algorithms and Applications - https://lnkd.in/dYRE5P2B Look for "Read and Download Links" section to download. #ComputerVision #MachineVision #Algorithms #DeepLearning #MachineLearning

Why Algorithms Matter: A Tale of Efficiency Algorithms are the foundation of computational efficiency. Two solutions to the same problem can differ drastically in performance, far outweighing the impact of hardware or software. For example: Insertion Sort: Runtime proportional to n2n^2. Merge Sort: Runtime proportional to nlog⁡nn \log n. While insertion sort might be faster for small inputs, merge sort dominates for larger datasets. In a practical scenario: A fast computer running insertion sort takes 5.5+ hours to sort 10 million numbers. A slower computer using merge sort completes the same task in under 20 minutes. The takeaway? Choosing the right algorithm isn’t just important—it’s transformative. As input sizes grow, efficient algorithms become the key to unlocking performance. 🚀 #Algorithms #Efficiency #TechLeadership

How to confuse computer vision algorithm.

Learn Scheme, Transliterate SICP to your preference, congratulations you can build a computer from theory.

A Hierarchical Recursive Feature Elimination Algorithm to develop Brain Computer Interface Application of User Behavior for Statistical reasoning and Decision making https://lnkd.in/gZkTBTC5

I am happy to share my knowledge about "Signed binary representation" which allows both positive and negative integers to be encoded in binary form. The most common method is Two's Complement, where the most significant bit indicates the sign (0 for positive, 1 for negative). It simplifies arithmetic operations and eliminates the need for separate subtraction logic, making it essential for efficient computing in digital systems.

Feature Extraction and Matching in Computer Vision | Comprehensive Overview https://lnkd.in/dA47wBjG