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Machine Learning with TensorFlow (Online Learning)

Tackle common machine learning problems with Google’s TensorFlow library and build deployable solutions.

Course Description

TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
This course addresses common commercial machine learning problems using Google’s TensorFlow library. It will not only help you discover what TensorFlow is and how to use it, but will also show you the unbelievable things that can be done in machine learning with the help of examples/real-world use cases. We start off with the basic installation of Tensorflow, moving on to covering the unique features of the library such as Data Flow Graphs, training, and visualization of performance with TensorBoard—all within an example-rich context using problems from multiple sources.. The focus is on introducing new concepts through problems that are coded and solved over the course of each section.

Learning Outcomes

Set up basic and advanced TensorFlow installations
Deep dive into training, validating, and monitoring training performance
Set up and run cross-sectional examples using images
Create pipelines to deal with real-world input data
Be empowered to go from concept to a production-ready machine learning setup/pipeline capable of real-world usage

Pre-requisite

You should be familier with Python and matrix math.

Who is this course intended for?

This course is for data scientists and researchers who are looking to either migrate from an existing machine learning library or jump into a machine learning platform headfirst. This course is also for software developers who wish to learn deep learning by example. With a particular focus on solving deep learning problems from several real-world sources (notMNIST, CIFAR10) using TensorFlow’s unique features, no commercial domain knowledge is required to take this course. Familiarity with Python and matrix math is expected though.


Your Instructor


Packt Publishing
Packt Publishing

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.


Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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