Пакет
![Cuda-8 Cuda](/ic/packages/min/cuda.png)
cuda-8.0.61
Module
Version
Роль
Описание
CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach termed GPGPU (General-Purpose computing on Graphics Processing Units). The CUDA platform is a software layer that gives direct access to the GPU’s virtual instruction set and parallel computational elements, for the execution of compute kernels.
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Конструктор программного окружения для образовательных курсов по машинному обучению и глубокому обучению.
![Tensorflow14_keras21_python36_cuda8_notebook default](/ic/appliances/max/_default.png)
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:1.4.1, keras:2.1.2, python:3.6.3, jupyter_notebook:1.0.0, cuda:8.0.61, cudnn:6.0.21, cuda_only-nvidia_drivers:384.111, development_preset:1
![Tensorflow14_keras20_python27_cuda8_notebook default](/ic/appliances/max/_default.png)
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:1.4.1, keras:2.0.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:8.0.61, cudnn:6.0.21, cuda_only-nvidia_drivers:384.111, development_preset:1
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The pre-configured and ready-to-use runtime environment for the Udacity's Deep Learning Nanodegree Foundation program (nd101). It includes Python 3.5, TensorFlow 1.0.0 and tflearn 0.30. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
udacity-nd101-course:2018, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111
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The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 3.5, TensorFlow 1.0.0 and Keras 2.0.2. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
udacity-nd009t-course:2018, python:3.5.4, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111
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The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 2.7, TensorFlow 1.0.0 and Keras 2.0.2. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
udacity-nd009t-course:2018, python:2.7.14, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111