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DeepLearningProject download for Windows

Free download DeepLearningProject Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named DeepLearningProject whose latest release can be downloaded as FirstreleaseoftheDeepLearningProject.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named DeepLearningProject with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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DeepLearningProject


DESCRIPTION

This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. The dataset is not one of the standard sets like MNIST or CIFAR, you will make you very own dataset. Then you will go through a couple conventional machine learning algorithms, before finally getting to deep learning! In the fall of 2016, I was a Teaching Fellow (Harvard's version of TA) for the graduate class on "Advanced Topics in Data Science (CS209/109)" at Harvard University. I was in charge of designing the class project given to the students, and this tutorial has been built on top of the project I designed for the class.



Features

  • Set up conda environment in jupyter notebook
  • Set up a docker container with docker-compose
  • You can add conda or pip packages to image
  • Introduces readers to a whole machine learning pipeline from scratch
  • The repository has a conda config file which will make setting up super easy
  • Create a new conda environment



Categories

HTML/XHTML, Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/deeplearningproject.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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