About the Course

If you want to build breaking career into cutting-edge Artificial Intelligence Technologies, this course will help you to do so. Deep learning & Neural Network engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities in the field of machine learning. Deep learning & Neural Networks will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning & neural networks. When you finish this course, you will be able to 1) Understand Major technology trends driving Deep Learning & Neural Networks 2) Be able to build, train and apply fully connected deep neural networks. 3) Know how to implement efficient neural networks. 4) Understand the key parameters in a neural network's architecture

ribbon

Learn from industry experts with live instructor-led training

Projects & Lab

Apply the skills you learn to solve real-world problems.

Certificate

Highlight your new skills on your resume or LinkedIn.                      

1:1 Mentoring

Get guidance from industry leaders and professionals.

Best-in-class Support

24×7 support and forum access to answer all your queries throughout your learning journey.

Certifications

Compatible to Machine Learning Cirtification by Microsoft,Coursera

Enrollment

ON-LINE MODE INSTRUCTOR LED TRAINING

17 Sept 2018
Online Instructor Based Training
30 days
26,000/
371 36,000

CLASS ROOM BASED INSTRUCTOR LED TRAINING

2018-08-23
Mon to Fri (4 weeks)
10 AM - 12 PM
30 days
36,000/
514 46,000

2018-09-17
Mon to Fri (4 weeks)
10 AM - 12 PM
30 days
36,000/
514 46,000

Learning Path


Course

About the Course

This course is a part of the Specialization Course in Machine Learning & AI

Introduction to deep learning

Neural Networks Basics

How do Neural Networks work?

Gradient Descent

Back propagation

Building an ANN

How to get the dataset

Evaluating, Improving & Tuning the ANN

What are convolutional neural networks?

Convolution Operation

Building a CNN

Recurrent Neural Networks

Building a RNN

Evaluating, Improving & Tuning the RNN

Self Organizing Maps

How do Self-Organizing Maps Work?

K-Means Clustering

How do Self-Organizing Maps Learn?

Building a SOM

Boltzmann Machines

Restricted Boltzmann Machine

Deep Boltzmann Machines

Building a Boltzmann Machine Module-6

Auto Encoders

Building an Auto Encoder

Projects

Projects

ML & AI Applications for the Healthcare Industry with Apache Sqoop and Apache Solr

Certificate

Certificate
1.The certificate rewarded by us is proof that you have taken a big leap in ML & AI domain.

2. Our Specialization is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in ML & AI domain.

3.Differentiate yourself The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.

4.Share your achievement Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.
 Course Certificate Sample

Course Creators

Course Creators


Created by team of both industry & academic experts having 20+ years of rich R&D experiance

Reviews

3 reviews
(4.9 out of 5)

FAQ

In Online training, you will get

  • Access to live instructor-led training as per your enrolled batch
  • Learn from industry experts over online meeting tools like zoom
  • 24x7 support by the trainers.

In Class room training, you will get

  • Intensive class room 1 to 1 training by the real time experts as per your enrolled batch
  • Learn from industry experts having rich 20+ years of experience in R&D.
  • 24x7 support by the trainers.

Top industry experts with rich 20+ years of R&D experience in mentoring students across the world.

Soft copy of the course material will be mailed to you.

In online instructor-led training, team of experts will train you with a group of our course learners for 25+ hours over online conferencing software like Zoom & Webminar. Online Classes will happen every day from Monday to Friday.

At the end, of course, you will work on a real-time project. Once you are done with the project (it will be reviewed by an expert), you will be awarded a certificate which you can share on LinkedIn.

Enrollment into course entails 30 days of free access to labs depending on date of enrollment. Can be extended based on permission.

Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription

Mail our most dynamic & ever active director through email director@vaidehisoftware.com

Have more questions? Please contact us at director@vaidehisoftware.com