VICTORIA's MACHINE LEARNING NOTES

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    Preface

    1. Disclaimer: any thoughts / comments (added) are my own personal opinion.

    2. Content is notably focused on mid-2015 through mid-2017, when I was most assiduously following the machine learning and related literature.
      That has abated somewhat as I refocus on my first passions: functional genomics, information processing, and knowledge discovery.

      However, I will continue to add (frequently) new content, that is of particular interest to myself (i.e. less broad / more focused,
      my research interests & Vision.  

    3. Note the mouse-over, scrollable Table of Contents, upper right corner (always visible)!  

    4. Double-click the videos to watch them full-screen.

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    7. Enjoy!  
    Table of Contents  


    ACTIVATION FUNCTIONS


    ADVERSARIAL NETWORKS | GENERATIVE ADVERSARIAL NETWORKS (GAN)


    AI: ARTIFICIAL INTELLIGENCE - CONSCIOUSNESS


    AI: ARTIFICIAL INTELLIGENCE - GENERAL


    ANIMATION


    APPLIED ML


    APPROACH | ALGORITHMS - ADVICE


    ARCHITECTURES - BIOMIMETIC


    ARCHITECTURES - CAPSULE NETWORKS


    ARCHITECTURES - GENERAL


    ARCHITECTURES - RBM | DBN | MLP | ENERGY-BASED MODELS ...


    ART - CNN


    ART, MUSIC - MISCELLANEOUS


    ATTENTION - MEMORY; READING COMPREHENSION


    Audio | Conversation | Speech | Sound


    AUTOENCODERS - GENERAL


    AUTOENCODERS - LADDER NETWORKS { UNSUPERVISED LEARNING IN DNN }


    BACKPROPAGATION


    BATCH NORMALIZATION

    Blogs:

    Papers:


    BLOGS


    CLASSIFICATION | CLUSTERING


    CNN - GENERAL


    CNN - IMAGE CLASSIFICATION


    CNN - OBJECT DETECTION: IMAGE ANALYSES; SEGMENTATION; DEBLURRING/SHARPENING; GENERATION ...