Working with TensorFlow / Introduction to TensorFlow

Explore Algorithms, Machine Learning, and Data Mining Concepts, and How TensorFlow Implements Them

TTML6802

Intermediate

3 Days

Course Overview

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 Objectives

Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern "on-the-job"  into every classroom and hands-on project. 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

Need different skills or topics?  If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate.  We offer additional big data, analytics. AI, machine learning, programming, Python/R and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.

Course Prerequisites

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

Take Before: Attending students should have incoming skills equivalent to those in the course(s0 listed below or should have attended the course(s) as a pre-requisite:

  • TTML5506-P: Machine Learning Essentials with Python

Please see the Related Courses tab for Pre-Requisite course specifics and links, links to similar courses you might review as an alternative, as well as suggested Next-Step Follow-On Courses and Learning Path recommendations.

Course Agenda

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We will work with you to tune this course and level of coverage to target the skills you need most.

  1. Machine Learning & Deep Learning Overview
  • This is summary of ML/DL Concepts (from the class – Machine Learning & Deep Learning Fundamentals)
    • Mathematical Concepts
    • ML Overview
    • DL Overview
  1. TensorFlow – Overview & Basics
  • TensorFlow – What is it? History & Background
  • Use cases & Key Applications
  • Machine Learning & Deep Learning Basics
  • Environment, Configuration Settings & Installation
  • TensorFlow Primitives
  • Declaring Tensors
  • Declaring Placeholders and Variables
  • Working with Matrices
  • Declaring Operations
  • Operations in Computational Graph
  • Nested Operations
  • Multiple Layers
  • Implementing Loss Functions
  • Implementing Back Propagation
  1. Machine Learning With TensorFlow
  • Linear Regression Review
  • Linear Regression Using TensorFlow
  • Support Vector Machines (SVM) Review
  • SVM using TensorFlow
  • Nearest Neighbor Method Review
  • Nearest Neighbor Method using TensorFlow
  1. Neural Networks With TensorFlow
  • Neural Networks Review
  • Optimization and Operational Gates
  • Working with Activation Functions
  • Implementing One-Layer Neural Network
  • Implementing Different Layers
  • Implementing Multilayer Neural Networks
  1. Deep Neural Networks With TensorFlow
  • Models and Overview
    • Single Hidden Layer
    • Multiple Hidden Layer
  • Convolutional Neural Network Overview & Implementation
  • CNN Architecture
  • Recurrent Neural Network Overview & Implementation
  • RNN Architecture
  1. TensorFlow: Additional Topics
  • TensorFlow Extensions
    • Scikit Flow
    • TFLearn
    • TF-Slim
    • TensorLayer
    • Keras
  • Unit Testing
  • Taking your implementation to production
  • Other Misc Topics

Course Materials

Hands-on Setup Made Simple! All course materials, data sets, Tableau course software (limited version, for course use only), course notes and related resources (as applicable) are provided for attendees in our easy access, no installation required, remote lab environment for the duration of the course. Our tech team will help set up, test and verify lab access for each attendee prior to the course start date, ensuring a smooth start to class and successful hands-on course experience for all participants. 

Raise the bar for advancing technology skills

Attend a Class!

Live scheduled classes are listed below or browse our full course catalog anytime

Special Offers

We regulary offer discounts for individuals, groups and corporate teams. Contact us

Custom Team Training

Check out custom training solutions planned around your unique needs and skills.

EveryCourse Extras

Exclusive materials, ongoing support and a free live course refresh with every class.

Attend a Course

Please see the current upcoming available open enrollment course dates posted below. Please feel free to Register Online below, or call 844-475-4559 toll free to connect with our Registrar for assistance. If you need additional date options, please contact us for scheduling.

Course Title Days Date Time Price
Working with TensorFlow / Introduction to TensorFlow 3 Days Jul 29 to Jul 30 10:00 AM to 06:00 PM EST $2,195.00 Enroll
Working with TensorFlow / Introduction to TensorFlow 3 Days Sep 9 to Sep 10 10:00 AM to 06:00 PM EST $2,195.00 Enroll
Working with TensorFlow / Introduction to TensorFlow 3 Days Nov 11 to Nov 12 10:00 AM to 06:00 PM EST $2,195.00 Enroll
Working with TensorFlow / Introduction to TensorFlow 3 Days Dec 2 to Dec 3 10:00 AM to 06:00 PM EST $2,195.00 Enroll

New Site, BIG Savings!
We're celebrating the launch of our lonnngggg awaited new site with with *50% off all 2021 Public Classes* booked by April 30!  Check out our Current Offers for Individuals, Teams and Organizations to Learn for Less!

See our latest Offers and Promotions

Learn. Explore. Advance!

Extend your training investment! Recorded sessions, free re-sits and after course support included with Every Course
Trivera MiniCamps
Gain the skills you need with less time in the classroom with our short course, live-online hands-on events
Trivera QuickSkills: Free Courses and Webinars
Training on us! Keep your skills current with free live events, courses & webinars
Trivera AfterCourse: Coaching and Support
Expert level after-training support to help organizations put new training skills into practice on the job

The voices of our customers speak volumes

Special Offers
Limited Offer for most courses.

SAVE 50%

Learn More