Package
![Mlcourse_open-course-2018 Course](/ic/packages/min/course.png)
mlcourse_open-course-2018
Module
Version
Role
Description
This is a runtime environment for the Open Data Sciences’s Open Machine Learning Course.
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.
Web site
Links
Alternatives
![machine_learning_education Machine learning education](/ic/constructors/max/machine_learning_education.png)
The runtime environment constructor for the machine learning and deep learning tutorials and courses.
![Course_mlcourse_open_2018_cuda8 Machine learning education](/ic/appliances/max/machine_learning_education.png)
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
![Course_mlcourse_open_2018_cpu Machine learning education](/ic/appliances/max/machine_learning_education.png)
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 software stack is optimized for running on CPU.
mlcourse_open-course:2018