Deci’s content hub on the latest Artificial Intelligence and Deep Learning trends and insights

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    Deci Included in Forrester Report on Computer Vision Platforms

    Forrester selected Deci as one of the most important computer vision platforms within the edge accelerators segment that can optimize CV models in production.

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    DeciNets: How Deci’s AutoNAC Automatically Extended the Efficient Frontier of Accuracy-Latency for NVIDIA Cloud and Edge GPUs

    Learn how AutoNAC creates proprietary DeciNet architectures that extend the efficient frontiers of latency/accuracy tradeoffs on NVIDIA cloud and edge GPUs.

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    Infery – Run Inference for Optimized Models with Only 3 Lines of Python Code

    Infery is a Python runtime engine that transforms running inference on optimized models into a light and easy process.

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    The Object Detection Landscape: Accuracy vs Run Time

    Learn about the different types and technical implementations of object detection algorithms, a key domain of deep learning and computer vision.

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    Podcast: Key Benefits of Using an Inference Acceleration Platform

    Listen to this episode of The Data Exchange Podcast to know the reasons why you should optimize your deep learning inference platform.

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    How to Convert a PyTorch Model to ONNX in 5 Minutes

    Learn about ONNX and how to convert a ResNet-50 model to ONNX. Then, try optimizing it to reduce its latency and increase its throughput.

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    Accelerate Deep Neural Network Inference with AutoNAC

    Complex neural models tend to get bloated during development, which slows them down in production.

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    DeciNets: Automatic Discovery of Fast Neural Networks on Specific AI Chips

    Using AutoNAC technology can create proprietary DeciNet architectures that extend the efficient frontiers of latency/accuracy tradeoffs on NVIDIA cloud and edge GPUs. Learn how.

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    Deci’s DeciNets Image Classification Models Break Efficient Frontier

    Deci’s AutoNAC technology generated DeciNets, a family of neural nets that significantly outperform other known architectures.

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