![]() ![]() Finally the testing results are displayed.Although the accuracy on training set is higher than 99%, the accuracy on the test set may slightly decrease. Evaluate the model using the test set.Right-click a SQL Server connection and select New Notebook. Go to the File Menu in Azure Data Studio and select New Notebook. In each case, a new file named Notebook-1.ipynb opens. The following part runs for a few seconds. There are multiple ways to create a new notebook. Use the Adam optimizer and choose categorical cross entropy as the objective function to train the model.Create a Sequential Model layer by layer.Randomly pick and check an image-label pair At the beginning, required libraries are imported.Click "Cell" and choose "Run All" to execute complete code. Start notebook How to follow this tutorial If you want to use the notebook remotely (run it in your remote cluster and view it in your desktop), please.Click "Run" to execute a specific section or run it sequentially.The example code has been executed and saved. Most of the tutorial content here is written as Jupyter Notebooks that mix code, text, visualization, and exercises.This program can train a Convolutional Neural Network via Keras, which is a high-level neural networks API, for handwritten digit recognition in MNIST dataset. A Python example code will be opened on a new Notebook.Administrators can enter the "Admin" page and access a user's Notebook.You can also click "Shutdown" to close it. If a Notebook is running, click "Running" to view the following page. ![]() "Admin": Switch to the admin page (administrator accounts only)."New": Open a new Notebook, terminal or folder."Upload": Upload local files to the server.The interface will appear as following:.Click the switch from Off to "On" to start the Notebook server.JupyterHub can be installed from the QTS App Center.Step 1: Install JupyterHub and open the Notebook server In this tutorial, you will learn how to use Jupyter Notebook via JupyterHub, and run an example code. Colab creates a VM instance with all needed dependencies, launches the Colab. Secured login and multi-factor authentication To open a notebook tutorial in Colab, click the Colab link in the notebook list.Support Milestone Surveillance Platform.NAS Smart Surveillance System Solutions.NDR Solutions against Targeted Ransomware.Software-defined Platform Total Solution.Support Platform9’s Managed OpenStack Solution.Veeam-Ready and Virtualization Certifications.Management center for device and user permission.Disaster Recovery Solution Exclusive for ZFS NAS.With Linux and ZFS, QuTS hero supports advanced data reduction technologies for further driving down costs and increasing reliablility of SSD (all-flash) storage. QuTS hero is the operating system for high-end and enterprise QNAP NAS models. WIth Linux and ext4, QTS enables reliable storage for everyone with versatile value-added features and apps, such as snapshots, Plex media servers, and easy access of your personal cloud. QTS is the operating system for entry- and mid-level QNAP NAS. ![]()
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