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Torrent + Direct Mathworks Matlab R2017b (version 9.3.0.713579) X64 2dvd Linux

Discussion in 'Developers' started by The Rain, Nov 25, 2017.

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  1. The Rain

    The Rain Windows updater and modifier Staff Member Super Admin

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    MathWorks MATLAB R2017b (version 9.3.0.713579) 2DVD Linux
    [​IMG]

    General Info:-
    Product: MathWorks MATLAB
    Version: R2017b (version 9.3.0.713579) 2DVD
    Supported Architectures: x64
    Language: english


    System Requirements: Linux
    Supported Operating Systems: Ubuntu 14.04 LTS, 16.04 LTS, and 17.04 / Red Hat Enterprise Linux 6 and 7 / SUSE Linux Enterprise Desktop 12 / Debian 8.x, 9.x
    Size: 11gb


    Description:-
    MathWorks introduced Release 2017b (R2017b), which includes new features in MATLAB and Simulink, six new products, and updates and bug fixes to 86 other products. The release also adds new important deep learning capabilities that simplify how engineers, researchers, and other domain experts design, train, and deploy models.

    Deep Learning Support
    Specific deep learning features, products, and capabilities in R2017b include:
    - 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.
    Together with capabilities introduced in R2017a, pretrained models can be used for transfer learning, including convolutional neural networks (CNN) models (AlexNet, VGG-16, and VGG-19), as well as models from Caffe (including Caffe Model Zoo). Models can be developed from scratch, including using CNNs for image classification, object detection, regression, and more.


    Additional Updates
    In addition to deep learning, R2017b also includes a series of updates in other key areas, including:
    Data Analytics with MATLAB
    - A new Text Analytics Toolbox product, extensible datastore, more big data plots and algorithms for machine learning, and Microsoft Azure blob storage support
    Real-Time Software Modeling with Simulink
    - Model scheduling effects and implement pluggable components for software environments
    Verification and Validation with Simulink
    - New tools for requirements modeling, test coverage analysis, and compliance checking

    About MATLAB. MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include:
    - Math and computation
    - Algorithm development
    - Modeling, simulation, and prototyping
    - Data analysis, exploration, and visualization
    - Scientific and engineering graphics
    - Application development, including Graphical User Interface building

    MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar noninteractive language such as C or Fortran.
    The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation.

    MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis.

    MATLAB features a family of application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes allow you to learn and apply specialized technology. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problems. Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.

    About MathWorks. MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the worlds universities and learning institutions. Founded in 1984, MathWorks employs more than 3500 people in 15 countries, with headquarters in Natick, Massachusetts, USA.

    Note:- Say Big Thanx to @WhiteDeath who helped to get all files


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    MathWorks MATLAB R2017b (version 9.3.0.713579) 2DVD Linux.torrent
    (56.5 KB, 49 Views, Size: 11.2 GB, Seeders: 2, Leechers: 0, completed: 14) Freeleech
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      2 seeders + 0 leechers = 2 peers
      Last Announce:
      Dec 13, 2017 at 6:45 PM
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  2. The Rain

    The Rain Windows updater and modifier Staff Member Super Admin

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    Dark_Wolf, akash609 and TheMacGyver like this.
  3. TheMacGyver

    TheMacGyver Staff Member Administrator

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    Awesome.. This is what I call service provided. Im sure he will be please..:clap:
    PS: You the greatest @WhiteDeath :rock:
     
    Dark_Wolf, WhiteDeath and The Rain like this.
  4. Form@zion

    [email protected] Registered User

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    Great torrent!Cheers!!
     
  5. Drazick

    Drazick Registered User

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    @The Rain , As always, you're the Lord of the Torrents.

    Thank You!

    P. S.
    Downloading it, once it is installed will let you know.

    Hi,

    I can verify this works.
    The installation instructions are a little sparse.
    I used instructions from R2017a Linux Torrent release.
    They are valid here as well.

    Thank You.
     
    Last edited by a moderator: Nov 26, 2017
  6. sat hap

    sat hap Registered User

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    Thank you very much, downloading now.
     
  7. Abdou47

    Abdou47 Registered User

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    Thank youuu so much
     
  8. khaled omran

    khaled omran Registered User

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    thanks man, nice share.
     
  9. kazi Ahmed

    kazi Ahmed Registered User

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    How to get the torrent link for this
     
  10. TheMacGyver

    TheMacGyver Staff Member Administrator

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    look again.. right under direct links is torrent link
     
  11. gonzalo669

    gonzalo669 Registered User

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    Thanks! However, the patch folder only contains to crack file for the Windows version and not for Linux. I tried with the libmwservices.so from Matlab R2017a but that does not work.
    If someone has the libmwservices.so for R2017b, sharing it would be very appreciated :)
     
  12. gonzalo669

    gonzalo669 Registered User

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    Hello Drazick,

    Where did you get the correct libmwservices.so ?
     

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