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  • Duration = 18 hrsDuration = 18 hrs
  • Duration = 18 hrs
  • Certificate Program
  • Mode - Online

This course provides a concise introduction to the fundamental concepts in deep learning and popular deep learning algorithms. We will cover the standard and most popular supervised learning algorithms including Linear Algebra For Machine and Deep Learning, ANN, Architecture of ANN, types and applications, Perceptron Method,  Backpropagation method, Tensorflow in details, ANNs With Tensorflow , Keras in details, ANNs With  Keras, Introduction to Convolution Neural Network(CNN) and Recurrent Neural Network(RNN) 

In the course, we will discuss various issues related to the application of deep learning algorithms.  The course will be accompanied by hands-on problem solving with programming and some tutorial sessions.





Module 1 Linear Algebra For Machine and Deep Learning
Module 2 Deep Learning
Module 3 ANN
Module 4 Introduction To Tensorflow
Module 5 Introduction To Keras
Module 6 Advanced topics

Upcoming Batches

Batch Code Start Date End Date Timings Venue Days in week
No Upcoming batches

Training & Supervised Learning Programs Support: -

Faculty: -
Highly experienced industry practitioners
Case based learning model: -
Real industry problems and case studies with live data sets
Training methodology: -
Instructor-led, coupled with case studies, videos, management games and role plays.
Industry immersion session: -
Insights from business analytics practitioners from leading organizations.
Dedicated support: -
Additional 12 hours extended handholding to help in queries, assignments, project implementation *valid for 3 months
Opportunity to work on Live Industry Projects
90 days Internship for deserving candidates
Placement assistance: -
Placement opportunities, Premium packages from job portals, Interview FAQs, guidance for resume building
Chance to be the part of Defour community
Knowledge Sharing Platform through Yearly Membership
Best performer eligible for an accolade