Hole Numbering: The Challenge of Identifying Deformed Holes
Have you ever tried to identify cooling holes using YOLO? I have, and it works reasonably well. But the real […]
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AI and Machine Learning
The Power of ‘Good Enough’: Why Imperfect Models Can Be Better Than Perfect Ones
When working on real-world machine learning problems, you usually don’t have the luxury of clean datasets, and your goal is
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Classify Images in Seconds with EfficientNet B0 and Python
Hey there, image classification enthusiasts! Are you looking for a simple way to classify images using Python and a pre-trained
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Revolutionizing Neural Architecture Search: No Training Required
Imagine being able to evaluate the performance of 100 neural networks in just 8 seconds, without any training. Sounds too
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Unlocking the Math Behind Linear Regression and the Perceptron in Python
Hey, machine learning enthusiasts! Are you curious about the math behind linear regression and the perceptron? I’ve got a treat
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Unlocking the Power of Deep Learning: Introducing YFlow Library
Hey there, fellow machine learning enthusiasts! I’m thrilled to share with you a project I’ve been working on – YFlow,
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Cracking the Code: A Simple Way to Learn Back Propagation
Hey there, fellow learner! I totally get it – back propagation can be a daunting concept to grasp, especially when
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Multimodal Machine Learning: Uncovering Publicly Available Paired MRI and Genomic Data
As a machine learning enthusiast, I’ve been exploring the world of multimodal learning, where image data is combined with structured
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Estimating Energy Consumption of CNN Models: A Step-by-Step Guide
Have you ever wondered how much energy your custom CNN model consumes? Estimating energy consumption is crucial in today’s AI
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Crushing the Sphere Benchmark: My Journey to e-31
Hey there! I’m thrilled to share a personal achievement with you all. As a machine learning enthusiast, I’ve been working
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