How does a neural network learn?

📰 Medium · Python

Learn how neural networks learn from scratch, understanding the process of finding optimal weights and biases

intermediate Published 21 Jun 2026
Action Steps
  1. Build a simple neural network from scratch using Python to understand the basics of neural network architecture
  2. Initialize weights and biases randomly and observe how the network performs
  3. Apply an optimization algorithm, such as gradient descent, to adjust the weights and biases and improve the network's performance
  4. Test the network on a sample dataset to evaluate its accuracy and identify areas for improvement
  5. Compare the performance of the network with different optimization algorithms and hyperparameters to find the best approach
Who Needs to Know This

Data scientists and machine learning engineers can benefit from this explanation to improve their understanding of neural network learning, which is crucial for building accurate models

Key Insight

💡 Neural networks learn by adjusting their weights and biases through optimization algorithms to minimize the difference between predicted and actual outputs

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🤖 Learn how neural networks learn from scratch! Understand the process of finding optimal weights and biases to improve your models #NeuralNetworks #MachineLearning

Key Takeaways

Learn how neural networks learn from scratch, understanding the process of finding optimal weights and biases

Full Article

Title: How does a neural network learn?

URL Source: https://medium.com/@ashvith.gurram/how-does-a-neural-network-learn-f50383b89af2?source=rss------python-5

Published Time: 2026-06-21T01:45:22Z

Markdown Content:
# How does a neural network learn?. This is Day 7 of building a neural… | by Ashvith Gurram | Jun, 2026 | Medium

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# How does a neural network learn?

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This is Day 7 of building a neural network from scratch. Yesterday we ran a whole neural network by hand and got a tidy answer: a 57% chance someone enjoys a movie. But we quietly cheated. Every weight and bias in that network was a number we simply invented. A real network doesn’t get handed good numbers — it starts with random ones and has to find good ones on its own. That hunt is what everyone means by “learning,” and today we’re going to demystify it completely. No new math, just a clear picture of what the word actually refers to.

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