openKylin keras-applications package

keras-applications 1.0.8-ok2 source package in openKylin

Changelog

keras-applications (1.0.8-ok2) nile; urgency=medium

  * Fix install has no such option 'install_layout'.

 -- Luoyaoming <email address hidden>  Wed, 01 Nov 2023 15:11:11 +0800

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Uploaded by:
luoyaoming
Sponsored by:
Cibot
Uploaded to:
Nile V2.0
Original maintainer:
Openkylin Developers
Architectures:
all
Section:
science
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Huanghe V3.0 proposed main science
Huanghe V3.0 release main science
Nile V2.0 release main science
Nile V2.0 proposed main science

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Nile V2.0: [FULLYBUILT] amd64

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keras-applications_1.0.8.orig.tar.gz 281.7 KiB 2280be647cd7895f9f99c4758084da6c3bdaec19fdfbfe3129d2cb31dc8ed788
keras-applications_1.0.8-ok2.debian.tar.xz 3.0 KiB 8d42f5d0b28a802e4c33e69dca82296125bb5c56ec4627fa56e762431a5b695a
keras-applications_1.0.8-ok2.dsc 1.9 KiB 50d371528bfe3b50dd7bd8cb564a4f6303f58e1a24d1b16ebb564031a0f010e7

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Binary packages built by this source

python3-keras-applications: popular models and pre-trained weights for the Keras deep learning framework

 Keras is a Python library for machine learning based on deep (multi-
 layered) artificial neural networks (DNN), which follows a minimalistic
 and modular design with a focus on fast experimentation.
 .
 Features of DNNs like neural layers, cost functions, optimizers,
 initialization schemes, activation functions and regularization schemes
 are available in Keras a standalone modules which can be plugged together
 as wanted to create sequence models or more complex architectures.
 Keras supports convolutions neural networks (CNN, used for image
 recognition resp. classification) and recurrent neural networks (RNN,
 suitable for sequence analysis like in natural language processing).
 .
 It runs as an abstraction layer on the top of Theano (math expression
 compiler) by default, which makes it possible to accelerate the computations
 by using (GP)GPU devices. Alternatively, Keras could run on Google's
 TensorFlow (not yet available in Debian).
 .
 Keras Applications is the applications module of the Keras deep
 learning library. It provides model definitions and pre-trained
 weights for a number of popular architectures, such as VGG16, ResNet50,
 Xception, MobileNet, and more.