{"id":9884,"date":"2026-08-10T10:12:28","date_gmt":"2026-08-10T10:12:28","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/zerotomastery-build-a-simple-neural-network-learn-backpropagation-2025-4\/"},"modified":"2026-08-10T10:12:28","modified_gmt":"2026-08-10T10:12:28","slug":"zerotomastery-build-a-simple-neural-network-learn-backpropagation-2025-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/zerotomastery-build-a-simple-neural-network-learn-backpropagation-2025-4\/","title":{"rendered":"ZeroToMastery \u2013 Build a Simple Neural Network & Learn Backpropagation 2025-4"},"content":{"rendered":"
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Descriptions<\/h2>\n

Build a Simple Neural Network & Learn Backpropagation, Learn about backpropagation and gradient descent by coding your own simple neural network from scratch in Python \u2013 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\u2019ll 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\u2019ll 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\u2019re looking to truly understand how machine learning works\u2014and prove it by building your own neural network\u2014this 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\u2019ll use advanced backpropagation techniques to train more complex models and understand how real-world neural networks are built from the ground up.<\/p>\n

What you\u2019ll learn<\/h3>\n