This is the latest version of Windows May 2019 Update. It's a media creation tool that can be used to upgrade an existing installation of Windows or create installation media for another PC. Just make your choice after launching the tool and it'll do the rest.What was new in Windows 10, when it was released? The OS brought back the Start Menu, though with a twist: live tiles keep you up-to-date with the latest news while also providing an easy way to launch apps. (Don't worry if you prefer the Start Screen, it's still there and you can boot into it if you prefer.)Apps now work much more like regular desktop programs.

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They have minimise, maximise, restore and close buttons, and can be resized (to a degree) and organised however you like.If you've still lost track of a program in the mass of open windows, a new Task Spaces feature can help. Click its taskbar button and you'll see thumbnails for everything running now, a little like OS X's Mission Control - just click something to switch to it.Better still, Task Spaces also supports virtual desktops. Add extra desktops as required and it'll display thumbnails of each one, making it easy to identify whatever you're after and switch to it.There's also smarter snapping, new customisation options, and even a bunch of experimental additions to the command prompt.November 2019 Update brings a whole host of new features for Windows 10.

See the for more information.The Windows 10 ISO will give you build 1090 which is the November 2019 Update.

HyperdockA simple framework for distributed hyperparameter optimization in Docker.What is Hyperdock?Hyperdock is a framework for hyperparameter search that can be used to optimized any target as long as that target can be run in a Docker container. That means that the target can be written in any language, use any framework or run on any operating system as long as it can be made into a Docker image.The figure below shows the Hyperdock system and its main components.The Hyperdock Web UI is the main interface for the end-users from where they can specify trials (a target Docker image and the hyperparameter space to search over). Plutarco le vite parallele pdf creator. All trials, their status and results are stored in a Mongo database.The Hyperdock Supervisor is a background process that monitors all trials.

It determines what jobs (a specific hyperparameter combination) need to scheduled, which jobs have failed and should be restarted, and notifies users of results.The Hyperdock Workers dequeues jobs from the work queue and then evaluates the target image with these parameters. They continually send status updates to the database to notify the user of progress.The entire Hyperdock system can be distributed, i.e. Supervisor, Workers and WebUI need not run on the same host. They only need to be able to access the same Mongo database and the workers need to have access to any data required by the target image.Each program that should be optimized needs to have its own Docker image, the target image, that is setup to load the parameters and write progress reports. Parameters are available in the json file /hyperdock/params.json. Once the target image has evaluated the parameters it simply writes the loss to the file /hyperdock/loss.json with the option of storing important files to /hyperdock/out.

Logs from the target image are periodically tailed from the workers to the WebUI. More about how to write a target image can found below.How does Hyperdock work?Hyperdock supports grid search of parameters from lists and distributions. See the for details on how to define the parameters space.Setting up HyperdockYou can either use the pre-built Docker images for Hyperdock or run the sub-systems directly on the host(s). Finally you can also use the file to setup a single host Hyperdock environment useful for testing - this method is very quick way to get started.SupervisorTo start the Hyperdock Supervisor using the Docker image run the following command. Pip install hyperdockhyperdock-worker -mongodb mongodb://localhost:27017/hyperdockOptions.v $(pwd):$(pwd) mirrors the path structure from the host in to the Docker container. This is needed since the paths must be the the same when the worker starts the Target Image and mounts the data and results folders.v /var/run/docker.sock:/var/run/docker.sock gives the Docker image access to control the outer Docker daemon.

This is crucial for worker to start new containersOr run it on your host with Python 3.6 and install with pip. # Install Meteorcurl sh# Go into the Web UI source folder cd web/meteor npm install# Set Mongo Database URL export MONGOURL=mongodb://localhost:27017/hyperdock# Start WebUImeteor runTarget ImageEach optimization target needs a target image. This image can be dynamic (i.e. Docker-compose upDevelopingHyperdock welcomes new contributors and pull-requests, but please start by reading the contribution. If you don't know where to start, sending a message to contributors is a good start!Hyperdock uses to manage the Python version and the package dependencies. The WebUI is built using which needs to be installed prior to development.Hyperdock uses for test monitoring, continuous integration and continuous deployment.TestingHyperdock uses as the test runner for the Python package. Note that the test machine needs a working Docker installation that doesn't require sudo.

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Always run the tests locally before pushing.