Watch Neural Network from Scratch : 3- Sigmoid function (python & NumPy only) Video Tutorial


Tutorial Details & Info

Tutorial Title: Neural Network from Scratch : 3- Sigmoid function (python & NumPy only)
Instructor / Channel: Ashraf Beshtawi
Lesson Runtime: 21:48 Minutes
Publish Date: December 14, 2020
Total Students / Views: 973 views

Explore this free video tutorial for Neural Network from Scratch : 3- Sigmoid function (python & NumPy only) instructor Ashraf Beshtawi. The total lesson runtime is 21:48 minutes providing step-by-step visual instructions. Follow along to build your skills on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

Create your own neural network from scratch. No libraries needed like TensorFlow or PyTorch. We will use NumPy only. This is the first video and is like an intro to the topic. If you need to learn about the Theory behind neural networks please see: 3Blue1Brown https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&ab_channel=3Blue1Brown This is the GitHub directory where we will be working on the code: https://github.com/ashrafbeshtawi/neural-network-from-scratch calculating the derivative of sigmoid: https://beckernick.github.io/sigmoid-derivative-neural-network/

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Discover how to master Neural Network From Scratch : 3- Sigmoid Function (python & NumPy Only) with this comprehensive video tutorial guide. Throughout this course, you will learn essential skills for Neural Network From Scratch : 3- Sigmoid Function (python & NumPy Only).

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Neural Network from Scratch : 3- Sigmoid function (python & NumPy only) taught by Ashraf Beshtawi. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Neural Network from Scratch : 3- Sigmoid function (python & NumPy only).
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Ashraf Beshtawi with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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