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Using TensorFlow for Intelligent Applications


2 Days Classroom Session   |  
2 Days Live Online
Classroom Registration
Individual:
$1750.00
Group Rate:
$1650.00
(per registrant, 2 or more)
GSA Individual:
$1277.50
Live Online Registration
Live Online:
$1750.00
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

Request a Private Onsite Price Quote

Professional Credits

IIBA (CDU)

ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.

PMI (PDU)

Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.

Certification
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
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Nov 12, 2020 – Nov 13, 2020    9:30am – 5:30pm Live Online Register
Jan 11, 2021 – Jan 12, 2021    8:30am – 4:30pm San Diego, California

Please call ASPE for location details
at 1-877-800-5221
San Diego, CA 92101
United States

Register
Jan 27, 2021 – Jan 28, 2021    8:30am – 4:30pm Live Online Register
Feb 10, 2021 – Feb 11, 2021    8:30am – 4:30pm Live Online Register
Mar 9, 2021 – Mar 10, 2021    8:30am – 4:30pm Reston, Virginia

Please call ASPE for location details
at 1-877-800-5221
Reston, VA 20190
United States

Register
Mar 17, 2021 – Mar 18, 2021    8:30am – 4:30pm Live Online Register
Apr 19, 2021 – Apr 20, 2021    8:30am – 4:30pm Live Online Register
May 11, 2021 – May 12, 2021    8:30am – 4:30pm Live Online Register
May 19, 2021 – May 20, 2021    8:30am – 4:30pm Minneapolis, Minnesota

Please call ASPE for location details
at 1-877-800-5221
Minneapolis, MN 55401
United States

Register
Jun 23, 2021 – Jun 24, 2021    8:30am – 4:30pm Live Online Register
Jul 12, 2021 – Jul 13, 2021    8:30am – 4:30pm Live Online Register
Jul 19, 2021 – Jul 20, 2021    8:30am – 4:30pm Boston, Massachusetts

Please call ASPE for location details
at 1-877-800-5221
Boston, MA 02101
United States

Register
Aug 24, 2021 – Aug 25, 2021    8:30am – 4:30pm Live Online Register
Sep 8, 2021 – Sep 9, 2021    8:30am – 4:30pm Live Online Register
Sep 21, 2021 – Sep 22, 2021    8:30am – 4:30pm Seattle, Washington

Please call ASPE for location details
at 1-877-800-5221
Seattle, WA 98101
United States

Register
Oct 13, 2021 – Oct 14, 2021    8:30am – 4:30pm Live Online Register
Nov 2, 2021 – Nov 3, 2021    8:30am – 4:30pm Live Online Register
Nov 17, 2021 – Nov 18, 2021    8:30am – 4:30pm Madison, Wisconsin

Please call ASPE for location details
at 1-877-800-5221
Madison, WI 53701
United States

Register
Dec 13, 2021 – Dec 14, 2021    8:30am – 4:30pm Live Online Register
Course Outline

Part 1: Overview of TensorFlow and TensorFlow libraries

  1. Using Python with TensorFlow
  2. Translating meaningful information into geometric spaces
  3. Training infrastructure
  4. Regressors
  5. Keras API
  6. Estimators and experiments

Part 2: Use cases for a machine learning service

  1. Deep learning implementation
  2. AI and macro insight opportunities
  3. Image processing use cases
  4. Predictive use cases
  5. Scoring datasets for machine learning
  6. Estimators

Part 3: Using and applying your model

  1. Defining the model
  2. Training the model
  3. Evaluating the model
  4. Prediction outputs

Part 4: Training your model

  1. Setting up the training cycle
  2. Training data
  3. Adjusting bias
  4. Weights

Part 5: Testing your model

  1. Testing overview
  2. Model values vs. output values

Part 6: Using TensorBoard to visualize model performance

  1. Loss curve
  2. Biases
  3. Examining graphs
  4. Learning rate decay
Pre-Requisites

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

Additionally, although it is not mandatory, students who have completed the self-paced Applied Statistics for Data Scientists eLearning course have found it very helpful when completing this course.

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