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fluxml.ai | ||
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www.nyckel.com
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| | | | | Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why. | |
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ankane.org
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| | | | | I'm happy to announce another round of machine learning gems for Ruby. Like in the last round, many use FFI or Rice to interface with high... | |
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www.khronos.org
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| | | | | NNEF reduces machine learning deployment fragmentation by enabling a rich mix of neural network training tools and inference engines to be used by applications across a diverse range of devices and platforms | |
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sirupsen.com
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| | | [AI summary] The article provides an in-depth explanation of how to build a neural network from scratch, focusing on the implementation of a simple average function and the introduction of activation functions for non-linear tasks. It discusses the use of matrix operations, the importance of GPUs for acceleration, and the role of activation functions like ReLU. The author also outlines next steps for further exploration, such as expanding the model, adding layers, and training on datasets like MNIST. | ||
