openKylin keras-applications package

keras-applications 1.0.8+ds-ok1 source package in openKylin

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keras-applications (1.0.8+ds-ok1) huanghe; urgency=medium

  * Build for openKylin.

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Uploaded by:
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Sponsored by:
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Uploaded to:
Huanghe V3.0
Original maintainer:
Openkylin Developers
Architectures:
all
Section:
science
Urgency:
Medium Urgency

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keras-applications_1.0.8+ds.orig.tar.xz 273.5 KiB d83195382226cf82b76f457e373675922ebda686565d68bfa8f269e4e9a8976a
keras-applications_1.0.8+ds-ok1.debian.tar.xz 2.9 KiB 5bc77c5ca1b37e91c50b22b75c9ddc17ea7b8d839acfb23973f9a83bb7ba16cd
keras-applications_1.0.8+ds-ok1.dsc 1.9 KiB 337a3497a978eb8b1403bbfc5fd6463cfa47a249b2e066c2c8ec45e169d67dc1

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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.