ZeroToMastery – Build a Simple Neural Network & Learn Backpropagation 2025-4

Build a Simple Neural Network & Learn Backpropagation, Learn about backpropagation and gradient descent by coding your own simple neural network from scratch in Python – no libraries, just fundamentals. Ideal for aspiring Machine Learning Engineers, Data Scientists, and AI Specialists. This course strips neural networks to their fundamental core: math and raw Python. You’ll dive into the inner workings of backpropagation, gradient descent, and the math that powers modern neural networks. No pre-built frameworks, no black boxes. Just you, the math, and your code. Step-by-step, you’ll build neural networks by hand and implement them from scratch. From partial derivatives to weight updates, every concept is broken down and coded in Python (no libraries like PyTorch required!). If you’re looking to truly understand how machine learning works—and prove it by building your own neural network—this course is your launchpad. Start by understanding the goals of the course and why backpropagation is central to modern machine learning. This section sets expectations and explains how mastering the math will give you a competitive edge. Scale up your skills. This section walks you through implementing a deeper neural network with non-linear activation functions. You’ll use advanced backpropagation techniques to train more complex models and understand how real-world neural networks are built from the ground up.

What you’ll learn

•  Coding neural networks from scratch using only Python
•  What backpropagation is and how it helps machines learn
•  How to break down complicated math into simple, doable steps
•  The easiest way to understand gradients and why they matter
•  What’s really happening when a machine makes predictions
•  How to train a smarter model by adjusting tiny details in code

Specificatoin of Build a Simple Neural Network & Learn Backpropagation

• Publisher : ZeroToMastery
• Teacher : Patrik Szepesi
• Language : English
• Level : All Levels
• Number of Course : 42
• Duration : 5 hours and 0 minutes

Content of Build a Simple Neural Network & Learn Backpropagation

Requirements

• Basic knowledge of Python is required.
• Basic (high-school level) knowledge of math is recommended.

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