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Deep Learning Illustrated, Part 2: How Does a Neural Network Learn? | by Shreya Rao | Feb, 2024

Data ScienceFebruary 8, 2024106Views0Likes0Comments
An illustrated and intuitive guide on how Neural Networks learn Welcome to Part 2 of the Deep Learning Illustrated series. In the previous article (definitely read that first!), we covered how a neural network works and how a trained neural network makes predictions. In this article, we’ll delve into the training process and explore how…

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A Buyer’s Guide for AP Automation Platforms

NanonetsFebruary 8, 2024104Views0Likes0Comments
Among finance professionals and business leaders, AP automation is quickly shifting from an exploratory endeavor to a key strategic priority. By streamlining the accounts payable cycle with Artificial Intelligence and automation-centric tools, AP teams can reap the benefits of airtight data accuracy, seamless invoice processing, and downstream collaboration with other teams or business processes. AP…

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Pioneering Large Vision-Language Models with MoE-LLaVA

AI NewsFebruary 8, 202479Views0Likes0Comments
In the dynamic arena of artificial intelligence, the intersection of visual and linguistic data through large vision-language models (LVLMs) is a pivotal development. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception. Their applications span a vast array of fields, including but not limited to sophisticated image recognition systems, advanced natural…

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3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide with Pros, Cons, and Python Code Examples | by Ryu Sonoda | Feb, 2024

Data ScienceFebruary 8, 202487Views0Likes0Comments
How should we choose between label, one-hot, and target encoding? 15 min read · 16 hours ago Why Do We Need Encoding? In the realm of machine learning, most algorithms demand inputs in numeric form, especially in many popular Python frameworks. For instance, in scikit-learn, linear regression, and neural networks require numerical…

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