PLURALSIGHT.CAFFE2.GETTING.STARTED-JGTiSO

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2018-09-29

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        ██▓ ▄▓▄ ▀
        ███  ▀  * Title..: Pluralsight Caffe2 Getting Started           
        ███     * Date...: 28-09-2018
   ▄    ███     * Type...: Bookware  
    ▀▓███▓▓ █   * Disks..: 19x15mb   
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   ░▒▓██████▀ ▄▀  ▀▓▀     Release notes:
        ▄▄▄
        ███   Caffe2 is an open-source deep learning framework and
        ███   competitor to frameworks such as TensorFlow, Apache MXNet
        ███   and PyTorch. It's focus is on efficiency and works well with
        ███   constrained environments such as on mobile devices. In this
        ███   course, Caffe2: Getting Started, you'll learn the
        ███   fundamentals of building neural nets and working with
        ███   Caffe2, get introduced to the Caffe2 Model Zoo and see how
        ███   you can import models from PyTorch to Caffe2 using ONNX.
        ███   First, you'll discover the basic building blocks of Caffe2,
        ███   blobs and workspaces, nets and operators, and put those
        ███   together to build neural networks to perform tasks such as
        ███   regression and classification. Then, you'll get introduced
        ███   to common image pre-processing techniques and the Caffe2
        ███   Model Zoo which offers a wide variety of pre-trained models
        ███   for common use cases. Next, you'll focus on interoperability
        ███   between the PyTorch deep learning framework and Caffe2 using
        ███   ONNX, an open source framework for exporting models from one
        ███   framework to another. Last, you'll use ONNX to move a super-
        ███   resolution model from PyTorch to Caffe2. By the end of this
        ███   course, you should be comfortable building and executing
        ███   neural networks using Caffe2, using pre-trained models for
        ███   common tasks and using ONNX to move from one framework to
        ███   another.
        ███   
        ███   
        ███   More info: 
        ███   https://www.pluralsight.com     
        ███   
        ███   Install notes:
        ███	
        ███   Unrar, Learn and Enjoy!
        ███
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       ▀▀▀▀  █ ▓▓  ▄  ▀         GREETINGS:
   ░▒▓██████▀ ▄▀  ▀▓▀
        ▄▄▄              AOD, CLASS, CROSSFiRE, JiOO, SAC, BBL
        ███              EVILISO, 4KIDS, SHOCK, MAGE, DYNAMiCS
        ███
        ███▄▀ ▄▀         Big thanks to all JGT sites, and
        ███▌ ██ ▒        sites accepting us!
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               ███  in memory of   ▀ ▄█▀▀  ▄▀   drawn by the honored
               ███    THEPROF       ▀                  FX/SAC
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                             "judgement day is near..."


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