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Home Data and Analytics Project on Tensorflow – Implementing Linear Model with Python
Home Data and Analytics Project on Tensorflow – Implementing Linear Model with Python

Project on Tensorflow - Implementing Linear Model with Python

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4.7 (63160 ratings)

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What you'll get

  • 1h 46m
  • 9 Videos
  • Course Level - Intermediate
  • Course Completion Certificates
  • One-Year Access
  • Mobile App Access

Curriculum:

    TensorFlow is an open source software library for numerical computation using data flow graphs. These tutorials are entire guide to TensorFlow for Deep Learning with Python. We will help you learn build a neural network and how to train, evaluate and optimize it with TensorFlow

    The training will include the following:

    1. Tensorflow Installation using Pip and Anaconda Navigator
    2. TensorFlow Introduction
    3. Environment set up in PyCharm IDE and running Sample Hello World Program
    4. Data Types used in TensorFlow and their handling in Python
    5. Implementing Linear model example, calculating loss value and reducing loss value using Optimizer and Train
    6. Updating existing data element value using Feed Dictionary
    7. Placeholder example and Usage and declaration of Constructor
    8. Addition of 2 numbers and progammatically calculation of Random numbers

    Target Customers:

    • Students
    • Professionals
    • Anyone who wants to learn about Deep Learning Techniques with TensorFlow

    Pre-Requisites:

    • Basic knowledge of Python programming
    • Basic knowledge of math (mean, standard deviation, etc

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    * One-Time Payment & Get One-Year Access

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    Training 5 or more people?

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    Drop an email at: [email protected]

    Course Overview

    These tutorials are entire guide to TensorFlow for Deep Learning with Python.

    6
    Upto 2 hours 1h 46m | 9 Videos | 63160 Views | Intermediate  Intermediate
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    TensorFlow is an open source software library for numerical computation using data flow graphs. These tutorials are entire guide to TensorFlow for Deep Learning with Python. We will help you learn build a neural network and how to train, evaluate and optimize it with TensorFlow

    The training will include the following:

    Watch our Demo Courses and Videos

    Valuation, Hadoop, Excel, Mobile Apps, Web Development & many more.

    1. Tensorflow Installation using Pip and Anaconda Navigator
    2. TensorFlow Introduction
    3. Environment set up in PyCharm IDE and running Sample Hello World Program
    4. Data Types used in TensorFlow and their handling in Python
    5. Implementing Linear model example, calculating loss value and reducing loss value using Optimizer and Train
    6. Updating existing data element value using Feed Dictionary
    7. Placeholder example and Usage and declaration of Constructor
    8. Addition of 2 numbers and progammatically calculation of Random numbers

    Target Customers:

    • Students
    • Professionals
    • Anyone who wants to learn about Deep Learning Techniques with TensorFlow

    Pre-Requisites:

    • Basic knowledge of Python programming
    • Basic knowledge of math (mean, standard deviation, etc

    Back to top ?

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