Paket: python3-keras (2.3.1+dfsg-3)
Länkar för python3-keras
Debianresurser:
Hämta källkodspaketet keras:
Ansvariga:
Externa resurser:
- Hemsida [keras.io]
Liknande paket:
deep learning framework running on Theano or TensorFlow
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).
Andra paket besläktade med python3-keras
|
|
|
|
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
-
- dep: python3-h5py
- general-purpose Python interface to hdf5
-
- dep: python3-keras-applications (>= 1.0.8)
- popular models and pre-trained weights for the Keras deep learning framework
-
- dep: python3-keras-preprocessing (>= 1.1.0)
- data preprocessing module for the Keras deep learning framework
-
- dep: python3-numpy
- Fast array facility to the Python 3 language
-
- dep: python3-scipy
- scientific tools for Python 3
-
- dep: python3-six (>= 1.9.0)
- Python 2 and 3 compatibility library (Python 3 interface)
-
- dep: python3-theano
- CPU/GPU math expression compiler for Python 3
-
- dep: python3-yaml
- YAML parser and emitter for Python3
Hämta python3-keras
| Arkitektur | Paketstorlek | Installerad storlek | Filer |
|---|---|---|---|
| all | 231,4 kbyte | 1.764,0 kbyte | [filförteckning] |