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Results 1 - 5 of 5 for Keras (0.22 sec)

  1. requirements_lock_3_12.txt

        # via
        #   -r requirements.in
        #   keras-nightly
    idna==3.7 \
        --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
        --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
        # via requests
    jax==0.4.7 \
        --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8
        # via -r requirements.in
    keras-nightly==3.0.4.dev2024021403 \
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Apr 12 04:38:53 GMT 2024
    - 44.4K bytes
    - Viewed (0)
  2. requirements_lock_3_9.txt

        --hash=sha256:f47619d978ab1ae7dfdc4052ea97c636c6263e1f19bd1be0e42c346b98d15ff4
        # via
        #   jax
        #   keras-nightly
    namex==0.0.7 \
        --hash=sha256:84ba65bc4d22bd909e3d26bf2ffb4b9529b608cb3f9a4336f776b04204ced69b \
        --hash=sha256:8a4f062945f405d77cb66b907f16aa2fd83681945e998be840eb6c4154d40108
        # via keras-nightly
    numpy==1.23.5 ; python_version <= "3.11" \
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Apr 12 04:38:53 GMT 2024
    - 44.2K bytes
    - Viewed (0)
  3. requirements_lock_3_10.txt

        # via
        #   -r requirements.in
        #   keras-nightly
    idna==3.7 \
        --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
        --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
        # via requests
    jax==0.4.7 \
        --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8
        # via -r requirements.in
    keras-nightly==3.0.4.dev2024021403 \
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Apr 12 04:38:53 GMT 2024
    - 43.8K bytes
    - Viewed (0)
  4. requirements_lock_3_11.txt

        # via
        #   -r requirements.in
        #   keras-nightly
    idna==3.7 \
        --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
        --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
        # via requests
    jax==0.4.7 \
        --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8
        # via -r requirements.in
    keras-nightly==3.0.4.dev2024021403 \
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Apr 12 04:38:53 GMT 2024
    - 43.8K bytes
    - Viewed (0)
  5. docs/en/data/external_links.yml

      - author: Shane Soh
        author_link: https://medium.com/@shane.soh
        link: https://medium.com/analytics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece
        title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker
      - author: Mandy Gu
        author_link: https://towardsdatascience.com/@mandygu
    Others
    - Registered: Sun Apr 28 07:19:10 GMT 2024
    - Last Modified: Thu Mar 21 20:57:27 GMT 2024
    - 21.3K bytes
    - Viewed (2)
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