Skills you will learn

  • Neural Networks
  • TensorFlow its program elements and installation
  • Deep Learning Libraries
  • Tensorflow Object Detection API
  • Deep Learning Frameworks
  • Keras
  • PyTorch
  • Types of Recurrent Neural Networks

Who should learn

  • Software Engineers
  • Data Scientists
  • Data Analysts
  • Statisticians

What you will learn

  • Deep Learning for Beginners

    • Introduction

      01:44
      • Introduction To Deep Learning
        01:44
    • Lesson 01: Introduction to Deep Learning and Its Applications

      16:53
      • Introduction to Deep Learning and Its Applications
        16:53
    • Lesson 02: What is a Neural Network?

      21:01
      • What is a Neural Network
        21:01
    • Lesson 03: Why Are Neural Networks Hard To Train?

      33:33
      • Why Are Neural Networks Hard To Train?
        33:33
    • Lesson 04: What are the Top Deep Learning Libraries?

      01:26
      • What are the Top Deep Learning Libraries?
        01:26
    • Lesson 05: What is TensorFlow?

      06:08
      • What is TensorFlow?
        06:08
    • Lesson 06: What is a Data Flow Graph?

      41:06
      • What is a Data Flow Graph?
        41:06
    • Lesson 07: Use Case Implementation using TensorFlow

      19:31
      • Use Case Implementation using TensorFlow
        19:31
    • Lesson 08: TensorFlow Object Detection

      21:50
      • TensorFlow Object Detection
        21:50
    • Lesson 09: Deep Learning Frameworks

      35:39
      • Deep Learning Frameworks
        35:39
    • Lesson 10: How image recognition works

      01:11:08
      • How image recognition works
        01:11:08
    • Lesson 11: Types of Recurrent Neural Network

      08:39
      • Types of Recurrent Neural Network
        08:39
    • Lesson 12: Working of LSTMs

      38:31
      • Working of LSTMs
        38:31
    • Lesson 13: Deep Learning Applications

      11:32
      • Deep Learning Applications
        11:32
    • Lesson 14: Deep Learning Frequently Asked Interview Questions

      44:22
      • Deep Learning Frequently-Asked Interview Questions
        44:22

Why you should learn

41.7% by 2023

Is the projected growth rate for the Deep Learning market size.

$152,595 per year

Annual median salary of an Deep Learning Engineer 

Career Opportunities

FAQs

  • What are the prerequisites to attend the Introduction to Deep Learning free course?

    Those who are keen to learn Deep Learning should have a basic awareness of python programming as well as mathematics and statistics. 

  • How do beginners learn Deep Learning?

    Beginners who want to learn can start with Deep Learning fundamentals first. Once you have mastered the fundamentals you can move on to the advanced topics in Deep Learning.

  • How long is the Introduction to Deep Learning free course?

    The Introduction to Deep Learning course consists of 6 hours of video content that will help you understand all the concepts thoroughly.

  • What should I learn first in an Introduction to Deep Learning course?

    It is recommended that you always start with Deep Learning fundamentals. For a better understanding, watch the learning videos in sequence without skipping any. 

  • Are Deep Learning fundamentals easy to learn?

    The videos that you find as a part of this Deep Learning Fundamentals course are created by mentors who are industry leaders with vast experience in the field. Also, they are aware of the needs of different learners, which is a great plus for the learners.  They have designed the course to be easy to learn.

  • What are the Deep Learning fundamentals covered in this free course?

    The Deep Learning fundamentals covered in this free course are Neural Networks, TensorFlow its program elements and installation, Tensorflow Object Detection API tutorial, Deep Learning Libraries, Deep Learning Frameworks, Keras, PyTorch and Types of Recurrent Neural Network.
     

  • Why learn Deep Learning? 

    There is a huge skill gap in the field of AI. Deep learning and machine learning engineers are in high demand. With rapid innovation in AI, there is an increasing need for skilled deep learning professionals. . Foresighted tech giants like Amazon, Facebook and Google are investing big bucks to develop their AI capabilities. This translates into multiple job opportunities for professionals with deep learning skills, worldwide.

  • Can I complete this Introduction to Deep Learning Fundamentals course in 90 days?

    Yes, you can complete this Introduction to Deep Learning Fundamentals course within 90 days.

  • Will I get a certificate after completing the Introduction to Deep Learning Fundamentals course?

    You will not receive a course completion certificate after completing the Introduction to Deep Learning Fundamentals course. However, you can upgrade and enroll for the paid version of the course to earn your certificate.
     

  • What are my next best learning options after completing this Introduction to Deep Learning Basics free course?

    After completing this Introduction to Deep Learning free course, you can opt for the Deep Learning Training Course provided by Simplilearn.

  • What are the career opportunities for Deep Learning professionals?

    Below are the common careers for Deep Learning professionals:

    • Machine learning engineer, 
    • Data scientist
    • Business intelligence developer
    • NLP scientist
       

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.