Package: python3-keras-applications (1.0.8+ds-2)

[ Source: 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.

Other Packages Related to python3-keras-applications

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-h5py

  general-purpose Python interface to hdf5

• dep: python3-numpy

  Fast array facility to the Python language (Python 3)

• rec: python3-keras

  Package not available

Download python3-keras-applications

Download for all available architectures

Architecture	Package Size	Installed Size	Files
all	25.1 kB	220.0 kB	[list of files]