Paquet : python3-keras-applications (1.0.6-1)
Liens pour python3-keras-applications
Ressources Trisquel :
Télécharger le paquet source keras-applications :
- [keras-applications_1.0.6-1.dsc]
- [keras-applications_1.0.6.orig.tar.gz]
- [keras-applications_1.0.6-1.debian.tar.xz]
Responsable :
Original Maintainers:
- Debian Science Maintainers (Archive du courrier électronique)
- Stephen Sinclair
Ressources externes :
- Page d'accueil [keras.io]
Paquets similaires :
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.
Autres paquets associés à python3-keras-applications
|
|
|
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
-
- dep: python3-h5py
- general-purpose Python interface to hdf5 (Python 3)
-
- dep: python3-numpy
- Fast array facility to the Python 3 language
-
- rec: python3-keras
- deep learning framework running on Theano or TensorFlow
Télécharger python3-keras-applications
Architecture | Taille du paquet | Espace occupé une fois installé | Fichiers |
---|---|---|---|
all | 23,2 ko | 198 ko | [liste des fichiers] |