Skills you will learn

  • Artificial neural networks
  • Backpropagation and gradient descent
  • Convolutional neural networks
  • Recurrent neural networks
  • Longshort term memory

Who should learn

  • Deep learning enthusiasts
  • Software engineers
  • Data enthusiasts
  • Statisticians

What you will learn

  • Introduction to Neural Network

    • Introduction

      01:32
      • Introduction Neural Network
        01:32
    • Lesson 01: What is A Neural Network?

      09:26
      • What is A Neural Network
        09:26
    • Lesson 02: How Does The Neural Network Work?

      10:23
      • How Does The Neural Network Work
        10:23
    • Lesson 03: Types of Artificial Neural Networks

      05:27
      • Types of Artificial Neural Networks
        05:27
    • Lesson 04: Advantages and Applications of Neural Network

      05:36
      • Advantages & Applications of Neural Network
        05:36
    • Lesson 05: A Use Case of Neural Network

      31:09
      • A Use Case of Neural Network
        31:09
    • Lesson 06: Backpropagation and Gradient Descent

      12:00
      • Backpropagation & Gradient Descent
        12:00
    • Lesson 07: All About Convolutional Neural Networks

      21:33
      • All About Convolutional Neural Networks
        21:33
    • Lesson 08: Use Case Implementation using CNN

      40:07
      • Use Case Implementation using CNN
        40:07
    • Lesson 09: Introduction to Recurrent Neural Network

      10:48
      • Introduction to Recurrent Neural Network
        10:48
    • Lesson 10: Vanishing and Exploding Gradient Problem

      04:59
      • Vanishing and Exploding Gradient Problem
        04:59
    • Lesson 11: Long Short Term Memory

      08:39
      • Long Short Term Memory
        08:39
    • Lesson 12: Use Case Implementation of LSTM

      32:44
      • Use Case Implementation of LSTM
        32:44

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Neural Network Training from Scratch

Why you should learn

$50.66 billion by 2026

Projected growth of the global ANN market size 


 

$99K

Average salary of a neural network engineer

FAQs

  • What are the prerequisites to learn neural networks?

    There are no prerequisites to learn neural networks. However, it is recommended that learners have a basic understanding of statistics, mathematics, and machine learning concepts.

  • How do beginners get started with neural networks?

    Beginners who want to learn neural networks can start with the fundamentals first. Once you have mastered neural network basics you can move on to the advanced topics.

  • How long does it take to learn neural network basics?


    The Neural Network for Beginners course consists of 4 hours of video content that will help you gain a thorough understanding of neural networks.

  • Are neural network basics easy to learn?

    The videos that you find as a part of the Getting Started with Neural Network course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.

  • What are the neural network basics covered in this free course?

    The neural network basics covered in the course include: 
    Artificial neural networks
    Backpropagation and gradient descent
    Convolutional neural networks
    Recurrent neural networks
    Long/short term memory

  • Can I complete this neural network for beginners course in 90 days?

    Yes, you can complete this neural network for beginners within 90 days.
     

  • Will I get a certificate after completing the Introduction to Neural Network course?

    Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Introduction to Neural Network free program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.

  • What are my next best learning options after completing this Introduction to Neural Networks course?

    After completing this Introduction to Neural Networks course, you can opt for the Post Graduate Program in AI and Machine Learning course provided by Simplilearn.

  • What are the career opportunities for neural network professionals?

    Common careers for neural network professionals include:

    • Neural network engineer
    • Data scientist
    • Data analyst
    • NLP scientist

Learner Review

  • Vihanga Fernando

    Vihanga Fernando

    BE, Computer Science & Engineering , University of Westminster

    I successfully completed the Introduction to Neural Network course from SkillUp and received a certificate as well.

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