Using TensorFlow for Intelligent Applications

2 Day Classroom  •  2 Day Live Online
2 Day Training at your location.
Adjustable to meet your needs.
Individual:
$1950.00
Group Rate:
$1750.00
GSA Discount:
$1462.50
When training eight or more people, onsite team training offers a more affordable and convenient option.
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Overview

TensorFlow is currently the most practical and accessible open-source machine learning tool for integrating intelligent features into our applications. Our organizations rely on petabytes of aggregated, structured data we’ve collected over the years. Even with good business intelligence practices, competitive position is increasingly defined by the ability to integrate an “intelligence layer” into the applications which ingest and utilize our data.

For software developers and data engineers ready to expand their silo and integrate intelligent services into applications, this TensoFlow course trains up engineering teams to build on domain expertise and design machine intelligence features using the popular TensorFlow library. TensorFlow delivers a myriad of deep learning best practices as part of its default configuration so complex machine learning just works out of the box.

TensorFlow democratizes deep learning for anyone with Python or C capability, but machine learning is not just another programming language. Our workshop allows you to learn from a live teacher, tie machine learning to value-driven use cases, and ask real-time questions in class.

Upcoming Dates and Locations
Guaranteed To Run
Jan 9, 2020 – Jan 10, 2020    8:30am – 4:30pm Salt Lake City, Utah

Downtown Courtyard by Marriott
345 West 100 South
Salt Lake City, UT 84101
United States

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Jan 9, 2020 – Jan 10, 2020    10:30am – 5:30pm Live Online
10:30am – 5:30pm
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Mar 12, 2020 – Mar 13, 2020    8:30am – 4:30pm Seattle, Washington

Allied Business Systems - Computer Classrooms
10604 NE 38th Place, Suite 118
Yarrow Bay Office Park-1 North
Kirkland, WA 98033
United States

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Mar 12, 2020 – Mar 13, 2020    11:30am – 7:30pm Live Online
11:30am – 7:30pm
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May 14, 2020 – May 15, 2020    8:30am – 4:30pm Minneapolis, Minnesota

Embassy Suites Airport
7901 34th Avenue South
Bloomington, MN 55425
United States

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May 14, 2020 – May 15, 2020    9:30am – 5:30pm Live Online
9:30am – 5:30pm
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Jul 9, 2020 – Jul 10, 2020    8:30am – 4:30pm Live Online
8:30am – 4:30pm
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Jul 9, 2020 – Jul 10, 2020    8:30am – 4:30pm Boston, Massachusetts

Attune, formerly Microtek Boston
25 Burlington Mall Road
2nd Floor
Burlington, MA 01803
United States

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Sep 10, 2020 – Sep 11, 2020    8:30am – 4:30pm Live Online
8:30am – 4:30pm
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Sep 10, 2020 – Sep 11, 2020    8:30am – 4:30pm Reston, Virginia

Attune, formerly Microtek Reston
12950 Worldgate Drive
Monument II Bldg 4th Flr
Herndon, VA 20170
United States

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Nov 12, 2020 – Nov 13, 2020    8:30am – 4:30pm Chicago, Illinois

Attune, formerly Microtek Chicago
230 W. Monroe
Suite 900
Chicago, IL 60606
United States

Register
Nov 12, 2020 – Nov 13, 2020    9:30am – 5:30pm Live Online
9:30am – 5:30pm
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Course Outline

Overview of TensorFlow and TensorFlow libraries

  • Using Python with TensorFlow
  • Translating meaningful information into geometric spaces
  • Training infrastructure
  • Regressors
  • Keras API
  • Estimators and experiments

Use cases for a machine learning service

  • Deep learning implementation
  • AI and macro insight opportunities
  • Image processing use cases
  • Predictive use cases
  • Scoring datasets for machine learning
  • Estimators

Using and applying your model

  • Defining the model
  • Training the model
  • Evaluating the model
  • Prediction outputs

Training your model

  • Setting up the training cycle
  • Training data
  • Adjusting bias
  • Weights

Testing your model

  • Testing overview
  • Model values vs. output values

Using TensorBoard to visualize model performance

  • Loss curve
  • Biases
  • Examining graphs
  • Learning rate decay
Pre-Requisites

This TensorFlow course is for individuals with intermediate experience with Python and C. Any experience with TensorFlow is also beneficial.

Download the brochure