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Building Machine Learning Solutions with Tensorflow

Justin Flett, Jerry Kurata, Jon Flanders, Janani Ravi, and Vitthal Srinivasan

TensorFlow is an open-source machine learning software library developed Google. Since it was released in 2015, it has become one of the most widely-used machine learning libraries. This skill will teach you how to implement the machine learning workflow using TensorFlow, and apply the library from Python to solve simple and complex machine learning problems.

What You'll Learn

  • Design and implementation of machine learning solutions using TensorFlow with Python
  • Applying Tensorflow to common analytical problems, such as classification, clustering, and regression
    • Read more

    TensorFlow is an open-source machine learning software library developed Google. Since it was released in 2015, it has become one of the most widely-used machine learning libraries. This skill will teach you how to implement the machine learning workflow using TensorFlow, and apply the library from Python to solve simple and complex machine learning problems.

    What You'll Learn

  • Design and implementation of machine learning solutions using TensorFlow with Python
  • Applying Tensorflow to common analytical problems, such as classification, clustering, and regression
  • Debugging Tensorflow projects
  • Deploying Tensorflow projects to the cloud
  • Applying Tensorflow to more advanced problems spaces, such as image recognition, language modeling, and predictive analytics.
    • This collection is no longer available.

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    What's inside

    Three courses

    Building Regression Models Using TensorFlow 1

    (2 hours)
    TensorFlow is the tool of choice for building deep learning applications. In this course, you'll learn how neurons in neural networks learn non-linear functions, and how neural networks execute operations such as regression and classification.
    View more details for this course

    Implementing Image Recognition Systems with TensorFlow 1

    (1 hours)
    TensorFlow is a popular library for implementing a range of deep learning solutions, especially those that deal with images. This course will teach you the basics of how to use TensorFlow to implement the most typical scenarios.
    View more details for this course

    Implementing Predictive Analytics with TensorFlow

    (1 hours)
    TensorFlow is a widely-used data science and machine learning software library. This course will teach you the basics of implementing predictive analytics using TensorFlow, including supervised learning, recommendation, and reinforcement systems.
    View more details for this course

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    Time
    1310 hours
    Via
    Pluralsight
    Institution
    Instructors
    Justin Flett
    Jerry Kurata
    Jon Flanders
    Janani Ravi
    Vitthal Srinivasan
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