EncartaLabs

Deep Learning with R

( Duration: 5 Days )

The Deep Learning with R training course will teach to leverage deep learning to make sense of raw data by exploring various hidden layers. Delegates will understand the basics of Deep Learning and move on to exploring advanced ANN's and RNN's. They will also dive into CNNs and Unsupervised Learning. Delegates will also learn about the applications of Deep Learning in various fields and understand the practical implementations of deep learning models for scalability, high performance computing and feature engineering.

By attending Deep Learning with R Workshop, delegates will learn to:

  • Set up the R package H2O to train deep learning models
  • Understand the core concepts behind deep learning models
  • Use autoencoders to identify anomalous data or outliers
  • Predict or classify data automatically using deep neural networks
  • Build generalizable models using regularization to avoid overfitting the training data

This Deep Learning with R course caters to aspiring data scientists who are well versed with machine learning concepts with R and are looking to explore the deep learning paradigm using the packages available in R. No prior exposure to deep learning is required.

COURSE AGENDA

1

Getting started with deep learning

2

Training a Prediction Model

3

Identifying Anomalous Data

4

Training Deep Prediction Models

5

Tuning and Optimizing Models

6

Applications of Deep Learning

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 3,500 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 20,000 corporate candidates across india and abroad
  • All our trainings are conducted in workshop mode with more focus on hands On

View our other course offerings by visiting www.encartalabs.com/course-catalogue

Contact us for delivering this course as a public/open-house workshop for a group of 10+ candidates at our venue

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