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Download e-book for kindle: Building Machine Learning Projects with TensorFlow by Rodolfo Bonnin

By Rodolfo Bonnin

ISBN-10: 1786466589

ISBN-13: 9781786466587

Key Features

  • Bored of an excessive amount of conception on TensorFlow? This publication is what you would like! 13 strong tasks and 4 examples train you the way to enforce TensorFlow in production.
  • This example-rich consultant teaches you ways to accomplish hugely actual and effective numerical computing with TensorFlow
  • It is a realistic and methodically defined advisor in order to practice Tensorflow's good points from the very beginning.
  • Book Description

    This ebook of tasks highlights how TensorFlow can be utilized in several situations - this comprises initiatives for education versions, desktop studying, deep studying, and dealing with numerous neural networks. every one undertaking presents interesting and insightful routines that may educate you ways to take advantage of TensorFlow and express you the way layers of knowledge may be explored via operating with Tensors. easily choose a venture that's in accordance with your atmosphere and get stacks of data on how one can enforce TensorFlow in production.

    What you are going to learn

    • Load, have interaction, dissect, approach, and keep advanced datasets
    • Solve class and regression difficulties utilizing state-of-the-art concepts
    • Predict the result of an easy time sequence utilizing Linear Regression modeling
    • Use a Logistic Regression scheme to foretell the longer term results of a time series
    • Classify photographs utilizing deep neural community schemes
    • Tag a collection of pictures and notice gains utilizing a deep neural community, together with a Convolutional Neural community (CNN) layer
    • Resolve personality reputation difficulties utilizing the Recurrent Neural community (RNN) model

    About the Author

    Rodolfo Bonnin is a structures engineer and PhD scholar at Universidad Tecnologica Nacional, Argentina. He additionally pursued parallel programming and snapshot figuring out postgraduate classes at Uni Stuttgart, Germany.

    He has performed learn on excessive functionality computing considering the fact that 2005 and started learning and imposing convolutional neural networks in 2008,writing a CPU and GPU - aiding neural community feed ahead level. extra lately he is been operating within the box of fraud trend detection with Neural Networks, and is at present engaged on sign class utilizing ML techniques.

    Table of Contents

    1. Exploring and remodeling Data
    2. Clustering
    3. Linear Regression
    4. Logistic Regression
    5. Simple FeedForward Neural Networks
    6. Convolutional Neural Networks
    7. Recurrent Neural Networks and LSTM
    8. Deep Neural Networks
    9. Running versions at Scale – GPU and Serving
    10. Library install and extra Tips

    Show description

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    Building Machine Learning Projects with TensorFlow by Rodolfo Bonnin

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