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  • NVIDIA
    Transfer Learning Toolkit for Video Streaming Analytics
    Container
    NVIDIA
    Transfer Learning Toolkit for Video Streaming Analytics

    NVIDIA’s Transfer Learning Toolkit is a python-based AI training toolkit that allows developers to train faster and accurate neural networks on the popular deep learning architectures. Create accurate and efficient AI models for Intelligent Video Analytics and Computer Vision without expertise in AI frameworks.

  • 7 Tags
    v3.0-py3Selected
    08/24/2021 10:53 PM UTC7.69 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:81c2d97b0df92dd60ba9a1ec3bf0b269d90ff981b54d823702a3fe1b623dd8e3linux / amd647.69 GB06/09/2021 UTC
    v2.0_py3
    02/09/2021 10:30 PM UTC3.27 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:d7488baf00a76f5dc9b89c637b2a438ae9f036e12642c52906872ba9843a8322linux / amd643.27 GB08/04/2020 UTC
    v3.0-dp-py3
    02/09/2021 9:35 PM UTC6.75 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:3e20634106145588534caf2887fdc1093e0e167a0933b0a993e5a077684bd89elinux / amd646.75 GB02/09/2021 UTC
    v2.0_dp_py2
    04/30/2020 3:19 AM UTC3.84 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:71e4ce86029f19a2777409e4e3c6f5cc2d60d2b43235e4fe7d9e5c94a7a28aeflinux / amd643.84 GB04/29/2020 UTC
    v1.0.1_py2
    12/06/2019 1:27 AM UTC3.99 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:304b8e19f6688823ae37ee84ed49017be281d251b3df76a743fc4b17b76382d4linux / amd643.99 GB12/06/2019 UTC
    v1.0_py2
    09/24/2019 3:27 AM UTC3.99 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:9c885b5a70eaae1f0729e81e7ca89e4eb25dc0d693fc24daaf329fb85d744aa5linux / amd643.99 GB09/24/2019 UTC
    v0.3_py2
    03/18/2019 8:04 PM UTC1.92 GB1 Architecture
    Manifest
    DigestOS / ArchCompressed SizeCreated
    sha256:ccd1ff111cc98b7a3201a443318dc0413275ac99f0a86b91c415aba7cf977c42linux / amd641.92 GB03/18/2019 UTC

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