Version
Course
stanford-cs224n-course:2018
Version
2018
Роль
Описание

This is a runtime environment for tutorials and examples of the Stanford's CS224n course: Natural Language Processing with Deep Learning.

Runtime environment

The runtime environment includes everything needed for the examples and tutorials from the course. All programs are built, installed, configured, tested, and are ready to use.

There are different software bundles (appliances), optimized for different hardware capabilities: x86 CPU only, or x86 CPU with NVidia GPU.

Machine learning education

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

Course stanford
The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 3.6 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:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111
Course stanford
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
Course stanford
The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 3.6 and TensorFlow 1.4.1. The software stack is optimized for running on CPU.
stanford-cs224n-course:2018, python:3.6.3
Course stanford
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 software stack is optimized for running on CPU.
stanford-cs224n-course:2018, python:2.7.14