Neural Networks Skills you will learn

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

Who should learn this Free Neural Networks Course?

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

What you will learn in this Neural Networks Free Course?

  • 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 Neural Networks?

$50.66 billion by 2026

Projected growth of the global ANN market size 


 

$99K

Average salary of a neural network engineer

About the Course

The free neural network course is designed to provide an understanding of neural networks, a key component of artificial intelligence and machine learning. Neural networks are like computerized brains that learn and make decisions inspired by how our brains work. This course is designed to make understanding neural networks less complicated and help learners confidently apply this knowledge in different areas and discover the essentials of neural networks by undertaking this course for free.

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FAQs

  • What are the fundamental concepts of neural networks?

    The fundamental concepts include artificial neurons, layers, activation functions, weights, biases, and the training process through algorithms like backpropagation.

  • How do neural networks differ from traditional programming?

    In traditional programming, explicit rules are coded, while neural networks learn from data to make predictions or classifications without being explicitly programmed.

  • Can I learn neural networks without a strong math background?

    Yes, many introductory courses provide a practical approach that minimizes the need for advanced math. However, a basic understanding of algebra and statistics is beneficial.

  • What are the career prospects after learning neural networks?

    Career prospects include roles in machine learning, artificial intelligence, data science, and various industries utilizing predictive modeling, image recognition, natural language processing and more.

  • How long will I have access to the course materials?

    You will have access to the course materials for 90 days, and you can take this neural networks course for free. This access ensures that you can revisit lessons and review content, encouraging a comprehensive understanding of the material.

  • Are there any certifications available for neural networks?

    Yes, upon successful completion of the neural networks course, you will receive a certificate. This certificate is like an official acknowledgment that you have completed the course. It shows that you understand the material well and can be tangible proof of your skills in neural networks.

  • What is the free neural network course duration?

    The free neural network course has a duration of 4 hours. This format ensures accessibility and convenience for learners with busy schedules, allowing them to acquire valuable knowledge efficiently within a short time frame.

  • How difficult is the neural network, free course?

    This course is like a friendly introduction to the world of neural networks. It covers the basics without expecting you to be an expert already, so it's perfect if you're just starting out. The goal is to give you a strong foundation, helping you understand the key ideas and feel more comfortable with the basics of neural networks.

  • Can I share this neural network free course with my coworkers or team?

    Feel free to distribute the course materials among your coworkers or team members to encourage collaborative learning. Sharing knowledge within your group can enhance understanding and encourage a supportive learning environment.

Learner Review

  • Brendon Mapinda

    Brendon Mapinda

    Convolutional neural networks, Recurrent Neural networks & plenty other stuff like using time series analysis to predict future stock market pricing and using ML to identify images by using np arrays to read pixels on an image and run it over layers of networks. I now have a gist of neural networks.

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