5.00
(1 Rating)

Basics of Deep Learning

By HAMAMREH Categories: A-Technology
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About Course

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

This basic course in (DL) may unravel some of them. You don’t need any technical or coding background to know the basic fundamentals of Neural networks. This course is designed for functional consultants, product managers as well as developers, and architects.

Contents of the course:

1. Inspiration for (DL)

2. Key Concepts of (DL)

3. Improving the model

4. Convolutional network

5. Recurrent network

6. Word representation

Who this course is for:

  1. All Developers, Business Managers, Functional leads, AI enthusiasts

What Will You Learn?

  • Basics of Deep Learning
  • This is an introductory course on Deep Learning. The students will get to know the evolution of deep neural networks and their application in areas like image recognition, natural language processing etc.

About the instructor

HAMAMREH
Jehad M. HAMAMREH is the Founder and Director of WISLAB, Editor at Researcherstore.com & RS-OJICT journal, and A. Professor with the Electrical and Electronics Engineering Department, Antalya International (Bilim) University, Turkey. He received the Ph.D. degree in electrical-electronics engineering and cyber systems from Istanbul Medipol University, Turkey, in 2018. Previously, he worked as a Researcher at the Department of Electrical and Computer Engineering in Texas A&M University. He is the inventor of 15+ Patents, and has authored more than 70+ peer reviewed scientific papers along with several book chapters. His innovative patented works won the golden, silver and bronze medals by numerous international invention contests and fairs. His current research interests include wireless physical and MAC layers security, orthogonal frequency-division multiplexing multiple-input multiple-output systems, advanced waveforms design, multidimensional modulation techniques, and orthogonal/non-orthogonal multiple access schemes for future wireless systems. He is a regular investigator and referee for various scientific journals as well as a TPC member for several international conferences. He is an Editor at RS-OJICT and Frontiers in Communications and Networks. Key Research Topics Expertise: Wireless Communication, Wireless Security, Wireless Sensing, 5G/6G, IoT-AI Youtube channel: https://www.youtube.com/channel/UCQ2pa8MbKerA0saQmc9rI6Q https://www.youtube.com/c/JehadMHamamreh Technical Facebook Group: https://www.facebook.com/groups/3338566672842802 Research Group: https://sites.google.com/view/wislab/ Store: https://researcherstore.com/store/advanced-telecom/ Google Scholar: https://scholar.google.com.tr/citations?hl=en&user=pEgDDPIAAAAJ

Course Curriculum

Deep Learning

  • What Are Neurons and Neural Networks?
    03:27
  • Artificial Neural Networks
    05:30
  • Gradient Descent
    05:40
  • Backpropagation Method
    09:20
  • Vanishing Gradients
    01:46
  • Activation Functions
    05:21

Student Ratings & Reviews

5.0
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HAMAMREH
3 months ago
Very useful course for understanding how to apply ML/AI to wireless systems
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