Hands On Training

Introduction to TensorFlow in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

TensorFlow is a machine learning platform that specializes in deep learning neural networks. Now available in R! This course will teach you everything you need about TensorFlow in R. When we examine whether beer consumption can be related to weather, your new skills will be tested. A deep neural network can be built that can determine if a banknote is authentic or fake using image data.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Machine Learning with caret in R

What You Will Learn

In this chapter, you'll explore a few regularization techniques, including incorporating a Ridge Regression into a Keras model and adding a Dropout technique to an Estimators canned DNN

Learn how to use TensorFlow, a state-of-the-art machine learning framework that specializes in the ability to develop deep learning neural networks

You'll become versed in TensorFlow constants, placeholders, and Variables and we'll explore some dataflow diagrams using TensorBoard, the TensorFlow visualization tool!

Course Content

Expand all sections

Module 1: Introducing TensorFlow in R

Module 2: Linear Regression using two TensorFlow APIs

Module 3: Deep Learning in TensorFlow: Creating a Deep Neural Network

Module 4: Deep learning in TensorFlow: increasing model accuracy

Course Instructors

Colleen Bobbie

Instructor

I have developed my passion for R , machine learning, and teaching over the course of my career as a Data Analyst in the Biology, Business, and Mining sectors and as a side-gig college lecturer. I en...