Machine learning education

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

 default
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
 default
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
Course stanford
The pre-configured and ready-to-use runtime environment for the Stanford's CS20 course: Tensorflow for Deep Learning Research. 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-cs20-course:2018, 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 CS20 course: Tensorflow for Deep Learning Research. It includes Python 3.6 and TensorFlow 1.4.1. The software stack is optimized for running on CPU.
stanford-cs20-course:2018
Machine learning education
The pre-configured and ready-to-use runtime environment for the Open Machine Learning Course, 2018. It includes Python 3.6, TensorFlow 1.4, Keras 2, XGBoost, LightGBM and Vowpal Wabbit. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
mlcourse_open-course:2018, cuda:8.0.61, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111