Package
tensorflow-1.5.0--python-2.7.14--cuda-9.0.176--cudnn-7.0.5
Module
Version
Flavor
python-2.7.14--cuda-9.0.176--cudnn-7.0.5
Other flavors
Ruolo
Descrizione
TensorFlow, an open source software library for machine learning.
Sito web
Requires
libc, cuda_runtime, cudnn:7.0.5, gcc-libstdcxx, gcc-libgcc_s, gcc-libgomp, gcc-libgfortran, cupti, 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_mock, python:2.7.14, cuda:9.0.176
The runtime environment constructor for the machine learning and deep learning tutorials and courses.
A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is optimized for running on NVidia GPU.
tensorflow:1.5.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and Python 2.7. 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 NVidia GPU.
tensorflow:1.5.0, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1
The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 2.7 and TensorFlow 1.4.1. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
stanford-cs224n-course:2018, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111
The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes latest versions of Python 2, TensorFlow, and PyTorch. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
stanford-cs231n-course:1617spring, tensorflow:1.5.0, pytorch:0.3.0, keras:2.1.2, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111
