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How to Download and Install MATLAB 2017b on Your Windows 10 PC


How to Download MATLAB 2017b for Windows 10




MATLAB is a popular software for numerical computing, data analysis, visualization, and programming. It is used by engineers, scientists, researchers, and students across various domains and industries. MATLAB 2017b is the latest release of MATLAB that was introduced in September 2017. It includes new features, products, and updates that make it easier and faster to design, train, and deploy deep learning models, analyze text and big data, model and verify software, and more. In this article, we will show you how to download MATLAB 2017b for Windows 10 and what benefits you can get from using it.


What is MATLAB 2017b and why you should download it




MATLAB 2017b is the second release of MATLAB in the year 2017. It follows the release of MATLAB 2017a in March 2017. MATLAB releases are usually named after the year and the first or second half of the year. For example, R2017b stands for Release 2017b. MATLAB releases are updated every six months with new features, products, bug fixes, and performance improvements.




download matlab 2017b for windows 10



You should download MATLAB 2017b if you want to use the latest and most advanced capabilities of MATLAB for your projects. MATLAB 2017b adds new important deep learning capabilities that simplify how you design, train, and deploy models. It also includes a series of updates in other key areas, such as data analytics, real-time software modeling, verification and validation, and more.


Features of MATLAB 2017b




Some of the main features of MATLAB 2017b are:


  • Neural Network Toolbox has added support for complex architectures, including directed acyclic graph (DAG) and long short-term memory (LSTM) networks, and provides access to popular pretrained models such as GoogLeNet.



  • The Image Labeler app in Computer Vision System Toolbox now provides a convenient and interactive way to label ground truth data in a sequence of images. In addition to object detection workflows, the toolbox now also supports semantic segmentation using deep learning to classify pixel regions in images and to evaluate and visualize segmentation results.



  • A new product, GPU Coder, automatically converts deep learning models to CUDA code for NVIDIA GPUs. Internal benchmarks show the generated code for deep learning inference achieves up to 7x better performance than TensorFlow and 4.5x better performance than Caffe2 for deployed models.



  • A new Text Analytics Toolbox product, extensible datastore, more big data plots and algorithms for machine learning, and Microsoft Azure blob storage support.



  • New Simulink features that enable you to model scheduling effects and implement pluggable components for software environments.



  • New verification and validation tools that help you check model consistency, measure coverage, assess model quality, generate reports, comply with standards, and test software components.



System requirements for MATLAB 2017b




To install and run MATLAB 2017b on Windows 10, you need to meet the following system requirements:


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Operating SystemsProcessorsDisk SpaceRAMGraphics


Windows 10 (version 1703 or higher)Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set supportMinimum: 2 GBRecommended: 4-6 GBMinimum: 4 GBRecommended: 8 GBNo specific graphics card is required.Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.


You also need to have a valid MATLAB license or trial from MathWorks to download and activate MATLAB 2017b. You can check the availability and pricing of MATLAB licenses and trials on the MathWorks website.


How to download MATLAB 2017b for Windows 10




To download MATLAB 2017b for Windows 10, you need to follow these steps:


Step 1: Obtain a software license or trial from MathWorks




If you already have a MATLAB license, you can skip this step. If you don't have a MATLAB license, you can either purchase one or request a free trial from MathWorks. To purchase a MATLAB license, you can visit the MathWorks Store and choose the product and license option that suits your needs. To request a free trial, you can visit the MathWorks Trial Request page and fill out the form with your details and preferences. You will receive an email with a link to download the trial software and a trial activation key.


Step 2: Download the installer from MathWorks Downloads




Once you have a MATLAB license or trial, you can download the installer from the MathWorks Downloads page. You need to log in with your MathWorks account and select the R2017b release from the drop-down menu. You can choose to download either the Windows 64-bit or 32-bit installer, depending on your system architecture. The installer size is about 2.5 GB, so make sure you have enough disk space and a stable internet connection.


Step 3: Run the installer and follow the instructions




After downloading the installer, you can run it by double-clicking on the file or right-clicking and selecting Run as administrator. The installer will guide you through the installation process, which involves choosing the installation folder, selecting the products and components to install, agreeing to the license terms, and entering your MATLAB activation key. The installation may take some time, depending on your system configuration and internet speed.


Step 4: Activate MATLAB 2017b and start using it




After the installation is complete, you need to activate MATLAB 2017b with your MathWorks account and activation key. You can do this by launching MATLAB from the Start menu or desktop shortcut and following the activation wizard. Once MATLAB is activated, you can start using it for your projects. You can access the documentation, examples, tutorials, and support resources from the MATLAB Help menu or online.


Benefits of using MATLAB 2017b for Windows 10




MATLAB 2017b for Windows 10 offers many benefits for users who want to perform numerical computing, data analysis, visualization, programming, and deep learning tasks. Some of these benefits are:


Simplify deep learning with new capabilities and tools




MATLAB 2017b makes it easier and faster to design, train, and deploy deep learning models for various applications, such as computer vision, natural language processing, signal processing, and more. You can use Neural Network Toolbox to create complex architectures, such as DAG and LSTM networks, and access popular pretrained models, such as GoogLeNet. You can also use GPU Coder to automatically generate CUDA code for NVIDIA GPUs and achieve high performance for deep learning inference. You can also use Computer Vision System Toolbox to label ground truth data in images and perform semantic segmentation using deep learning.


Analyze data with new text analytics and big data features




MATLAB 2017b also adds new features for data analytics, especially for text and big data. You can use Text Analytics Toolbox to analyze


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