About the Course

Google's TensorFlow, has helped engineers, researchers, and many others make significant progress with everything from voice/sound recognition to language translation and face recognition. It has also proved to be useful in the early detection of skin cancer and preventing blindness in diabetics. Google’s TensorFlow is designed to make distributed machine and deep learning easy for everyone, but using it requires understanding some general principles and algorithms. The aim of this course is to help you tackle common commercial machine learning and deep learning problems that you’re facing in your day-to-day activities. The course begins with an introduction to machine learning and deep learning. You will explore the main features and capabilities of TensorFlow such as a computation graph, data model, programming model, and TensorBoard. The key highlight here is that this course will teach you how to upgrade your code from TensorFlow 0.x to TensorFlow 1.x.

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

Getting Started with Machine Learning and Deep Learning

Up and running with TensorFlow

Basic tensor methods

How TensorBoard works?

Linear Regression

Logistic Regression

Reinforcement Learning

Convolutional Neural Networks

Autoencoders

Recurrent Neural Networks

Deep Neural Networks

Advanced TensorFlow Programming

TensorFlow – Keras, Pretty Tensor, TFLearn.

Advanced Multimedia Programming with TensorFlow

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