Deep learning - Beginner To Advanced

Deep Learning Specialization is a basic program that will help you understand the skills, challenges, and effects of in-depth learning and prepare you to participate in the development of advanced AI technology.

Deep learning

About Deep learning

The deep learning generally refers to the complex learning process of a selected model. It generally trying to mimic the human brain for the training of a model. Using this tool one can switch to complex model preparation. It can also be thought as the subset of machine learning.

Why Deep learning ?

In some times, it is required to pre-process data which may be in large volume. The training method in deep learning process eliminates the pre-processing stage used in machine learning.

 

 

  • Introduction to Deep learning.
  • Architecture of Artificial Neural Network (ANN).
  • Topologies of ANN.
  • Learning process of ANN.
  • Application in object recognition and classification.
  • Modification in structures.
  • Recent challenges in complex network formation.
  • MATLAB programs related to deep learning application.

 

  • Opportunity to learn and work on speech recognition, object recognition, computer vision, classification, problem-solving, learning and planning etc.
  • Beneficiary can get job opportunities to work on the different industrial areas.
  • Placement opportunity in AI industry (Fresh engineers from Polytechnique/Engineering colleges).
  • Knowledge enhancement by Interactive Session and Practical Training.
  • Opportunity to go for further research and development.

  • Students belongs to EE, ECE, EEE, ME, CHE and CSE/IT of engineering /polytechnic colleges.
  • Students, Researchers and Faculties from Science/Engineering background.
  • Government officials.
  • Private companies for AI sector.