Jetware - Пакет: TensorFlow

Пакет

Tensorflow

tensorflow-1.4.0--python-3.6.3

Module

Version

Flavor

python-3.6.3

Next versions

Other branches

1.12.0, 1.11.0, 1.10.0, 1.9.0, 1.8.0, 1.7.0, 1.6.0, 1.5.0, 1.4.1, 1.3.0

Other flavors

python-3.6.3--cuda-8.0.61--cudnn-6.0.21, python-3.4.7--cuda-9.0.176--cudnn-7.0.3, python-3.5.4--cuda-8.0.61--cudnn-6.0.21, python-2.7.14--cuda-8.0.61--cudnn-7.0.3, python-3.4.7--cuda-8.0.61--cudnn-7.0.3, python-3.5.4--cuda-8.0.61--cudnn-7.0.3, python-2.7.14, python-2.7.14--cuda-9.0.176--cudnn-7.0.3, python-3.4.7--cuda-8.0.61--cudnn-6.0.21, python-3.6.3--cuda-9.0.176--cudnn-7.0.3

Роль

Описание

TensorFlow, an open source software library for machine learning.

Веб-сайт

https://www.tensorflow.org/

Requires

libc, gcc-libstdcxx, gcc-libgcc_s, python_wheel, python_enum34, python_protobuf, python_markdown, python_werkzeug, python_six, python_bleach, python_futures, python_html5lib, python_numpy, python_backports_weakref, python_pip, python:3.6.3

Конструкторы (1)

Machine learning education

Machine Learning Education

Конструктор программного окружения для образовательных курсов по машинному обучению и глубокому обучению.

Аплайнсы (2)

Machine learning

aise / TensorFlow 1.4 Python 3.6 CPU Lab

A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, Python 3.6, and Jupiter Notebook, a browser-based interactive notebook for programming, mathematics, and data science. The stack is designed for research and development tasks and optimized for running on CPU.

tensorflow:1.4.0, python:3.6.3, jupyter_notebook:1.0.0, selfmanagement_preset, development_preset

Machine learning

aise / TensorFlow 1.4 Python 3.6 CPU Production

A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.

tensorflow:1.4.0, python:3.6.3, development_preset