Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Introduction to Tensorflow / Machine Learning with Tensorflow
The abundance of data and affordable cloud scale has led to an explosion of interest in Deep Learning. Google has released an excellent library called Tensorflow to open-source, allowing state-of-the-art machine learning done at scale, complete with GPU-based acceleration. Working with Tensorflow is a hands-on course that explores algorithms, machine learning, and data mining concepts, and how TensorFlow implements them, working in a hands-on manner. This “skills-centric” course is about 50% hands-on lab and 50% lecture, integrating practical hands-on labs designed to reinforce fundamental skills, concepts and best practices introduced throughout the course.
Course Overview
This in an intermediate-level course is geared for experienced developers or others (with prior Python experience) intending to start using and working with TensorFlow. Students should have attended or have incoming skills equivalent to those in this course: Strong foundational mathematics in Linear Algebra and Probability; Matrix Transformation, Regressions, Standard Deviation, Statistics, Classification, etc. Basic knowledge of machine learning and deep learning algorithms Strong basic Python Skills
4176 S Plaza Trail
Suite 207
Virginia Beach, VA 23452
- Providers
- Courses
- Course and Provider Quantity
Learning Objectives
This “skills-centric” course combines extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Throughout the course, led by our expert team, students will explore: Core Deep Learning and Machine Learning math essentials Tensorflow Overview and Basics. Tensorflow Operations Neural Networks With Tensorflow Deep Learning With Tensorflow
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Work Roles
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.