Basics of Deep Learning

Fundamentals of Neural Network
Rating: 4.2 out of 5 (208 ratings)
15,734 students
Basics of Deep Learning
Rating: 4.2 out of 5 (208 ratings)
15,734 students
Basics of Deep Learning
This is an introductory course on Deep Learning. The students will get to know the evolution of deep neural network and their application in areas like image recognition, natural language processing etc.

Requirements

  • Basic Mathematics

Description

Have you ever wondered what is Deep Learning and how it is helping today in powering Artificial Intelligence?

This basic course in Deep Learning may unravel some of them. You dont need any technical or coding background to know the basic fundamentals of Neural Network. This course is designed for functional consultants, product managers as well as developers and architects.

Contents of the course:

1. Inspiration for Deep Learning

2. Key Concepts of Deep Learning

3. Improving the model

4. Convolutional network

5. Recurrent network

6. Word representation

Who this course is for:

  • All Developers, Business Managers, Functional leads, AI enthusiasts

Course content

7 sections • 7 lectures • 1h 46m total length
  • Introduction
    01:46

Instructor

AI Enthusiast | Startup Mentor I Author
Sunil Kumar Mishra
  • 4.2 Instructor Rating
  • 208 Reviews
  • 15,734 Students
  • 1 Course

Sunil has over two decades of experience with leading consulting & technology companies that include McKinsey & Co. , Accenture, Infosys & Oracle.

Sunil has keen interest in technology incubation and co-creation with Fintechs and banks. Sunil works with several startups as mentor. He is also the author of 'Who Stole My Job' - a story of technology disruption.