Neural Networks

Using Twin Neural Networks to Train Catalog Item Embeddings

Understanding the contents of a large digital catalog is a significant challenge for online businesses, but this challenge can be addressed using self-supervised neural network models. Product discovery in particular becomes difficult when a digital catalog gets to a size that is too large to manually label or analyze. For DoorDash, having a deep understanding ... The post Using Twin Neural Networks to Train Catalog Item Embeddings appeared first on DoorDash Engineering Blog.

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GPU-Accelerated Deep Learning Can Spot Signs of Early Alzheimer’s With 99% Accuracy

Speedy diagnoses are critical, especially when a loved one seems to be slowly losing their cognitive abilities. Researchers from the Kaunas University of Technology in Lithuania report they’ve developed a deep learning-based method able to predict the possible onset of Alzheimer’s disease from brain images with an accuracy of over 99 percent. The impact of The post GPU-Accelerated Deep Learning Can Spot Signs of Early Alzheimer’s With 99% Accuracy  appeared first on The Official NVIDIA Blog.

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