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Deep Learning Approaches in Medical Image Segmentation

KDnuggets

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning.

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10 GitHub Repositories for Deep Learning Enthusiasts

KDnuggets

1 [dev] and edited with Canva Pro The 10 GitHub Repository Education Series has been a hit among readers, so here is another list to help you master the basics of deep learning. This collection will guide you through understanding popular deep learning frameworks and various model architectures. Image generated with FLUX.1

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Rust Burn Library for Deep Learning

KDnuggets

A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.

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Deep Learning Key Terms, Explained

KDnuggets

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

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Free MIT Course: TinyML and Efficient Deep Learning Computing

KDnuggets

Dive into the complete overview of MIT's TinyML and Efficient Deep Learning Computing course. Curious about optimizing AI for everyday devices? Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look!

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TensorFlow vs PyTorch: Deep Learning Frameworks [2024]

Knowledge Hut

As technology is evolving rapidly today, both Predictive Analytics and Machine Learning are imbibed in most business operations and have proved to be quite integral. Deep learning is a machine learning type based on artificial neural networks (ANN). TensorFlow is by far one of the most popular deep learning frameworks.

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The Complete Free PyTorch Course for Deep Learning

KDnuggets

Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?