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    Description

    Ready to crank up a neural network to get your self-driving car to pick up the kids from school? Want to add "deep learning" to your LinkedIn profile?

    Well, hold on there....

    Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step journey through the basics of neural networks and deep learning, made so simple that...even your granny could understand it!

    What you will gain from this audiobook:

    • A deep understanding of how a neural network and deep learning work
    • A basics comprehension on how to build a deep neural network from scratch

    Who this audiobook is for:

    • Beginners who want to approach the topic, but are too afraid of complex math to start!

    What’s inside?

    • A brief introduction to machine learning
    • Two main types of machine learning algorithms
    • A practical example of unsupervised learning
    • What are neural networks?
    • McCulloch-Pitts' neuron
    • Types of activation function
    • Types of network architectures
    • Learning processes
    • Advantages and disadvantages
    • Let us give a memory to our neural network
    • The example of book writing software
    • Deep learning: the ability of learning to learn
    • How does deep learning work?
    • Main architectures and algorithms
    • Main types of DNN
    • Available frameworks and libraries
    • Convolutional neural networks
    • Tunnel vision
    • Convolution
    • The right architecture for a neural network
    • Test your neural network
    • A general overview of deep learning
    • What are the limits of deep learning?
    • Deep learning: the basics
    • Layers, learning paradigms, training, validation
    • Main architectures and algorithms
    • Models for deep learning
    • Probabilistic graphic models
    • Restricted Boltzmann machines
    • Deep belief networks
    • Available frameworks and libraries
    • TensorFlow

    Download now!

    ©2018 Pat Nakamoto (P)2018 Pat Nakamoto

    Ce que les auditeurs disent de Neural Networks and Deep Learning

    Notations
    Global
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    Commentaires - Veuillez sélectionner les onglets ci-dessous pour changer la provenance des commentaires.

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    • Global
      1 out of 5 stars
    • Interprétation
      1 out of 5 stars
    • Histoire
      1 out of 5 stars

    Horrible

    On dirait une machine qui lit le bouquin. Lecture monotone, aucune intonation. Aucun contenu. Du blabla pur et dur. Juste bon pour endormir les 'grannies' un peu turbulentes apres avoir bu leur camomille du soir :-)

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    • Global
      1 out of 5 stars
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      1 out of 5 stars
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      1 out of 5 stars
    Image de profile pour Iñigo
    • Iñigo
    • 04/10/2018

    It repeats many parts of the book

    Seems read by a machine (which probably is), with many repeated parts. The equations were read in a way in which I couldn't understand anything. I'm happy I got it for free...

    • Global
      2 out of 5 stars
    • Interprétation
      1 out of 5 stars
    • Histoire
      3 out of 5 stars
    Image de profile pour Krzysztof DoBgowski
    • Krzysztof DoBgowski
    • 02/10/2018

    Machine reading!!

    I have a huge problem to listen to this artificial lector. Usually I don't pay attention to reading quality, but this is really annoying me. Story is o.k but I don't think that audiobook is a good format for this as often you have to rewind some paragraphs to understand.

    • Global
      4 out of 5 stars
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      4 out of 5 stars
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      4 out of 5 stars
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    • Amazon Customer
    • 07/08/2018

    Useful audiobook

    This is my first audiobook which I find useful for technical learning. Content has been to the point which makes it more effective. I would recommend this for someone who is interested in machine learning.

    • Global
      2 out of 5 stars
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      3 out of 5 stars
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    • Amazon Customer
    • 14/07/2018

    Not good for an audio book

    Not good as an audio book ... no flow and just basic reading ... read title then say the words ... really poor reading performance made it hard to follow ... content seemed pretty good but was difficult to follow ... probably better in paper. As an engineer I followed the concepts and some of the analogies were good but this ain’t for your granny unless she is Grace Hopper

    • Global
      1 out of 5 stars
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    Image de profile pour Sarah Frahm
    • Sarah Frahm
    • 22/06/2018

    Badly produced waste of an audible credit

    The audiobook starts over from the beginning half way through, the material was poorly adapted to audio format, and the narrator sounds like he thinks he's voicing a thriller movie trailer. Don't bother.

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