Gradient Descent: How AI Learns

📰 Dev.to · Akhilesh

Learn how AI learns through gradient descent, a key concept in machine learning, and understand its application in optimizing functions

beginner Published 24 Apr 2026

Action Steps

Understand the concept of gradient descent through an analogy of reaching the lowest point in a hilly landscape
Apply gradient descent to optimize functions in machine learning models
Use Python libraries like scikit-learn or TensorFlow to implement gradient descent in practice
Visualize the gradient descent process to understand how it converges to the optimal solution
Compare different optimization algorithms, such as stochastic gradient descent and batch gradient descent, to choose the best approach for a given problem

Who Needs to Know This

Data scientists, machine learning engineers, and AI researchers can benefit from understanding gradient descent to improve model performance and optimize functions

Key Insight

💡 Gradient descent is an iterative optimization algorithm that uses the gradient of a function to converge to its minimum value

Key Takeaways

Learn how AI learns through gradient descent, a key concept in machine learning, and understand its application in optimizing functions

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Title: Gradient Descent: How AI Learns

URL Source: https://dev.to/yakhilesh/gradient-descent-how-ai-learns-4l9l

Published Time: 2026-04-24T03:56:33Z

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Posted on Apr 24

# Gradient Descent: How AI Learns

[#python](https://dev.to/t/python)[#ai](https://dev.to/t/ai)[#productivity](https://dev.to/t/productivity)[#beginners](https://dev.to/t/beginners)

You are blindfolded in a hilly landscape.

Your only goal is to reach the lowest point in the valley.

You cannot see the whole landscape. You cannot see where the valley is. You cannot teleport there.

What do you do?

You feel the ground under your feet. You figure out which direction slopes downward right where you are standing. You take one step in that direction. Then you feel again. Step again. Feel again. Step again.

Eventually you reach the bottom.

That is gradient descent. Exactly that

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Gradient Descent: How AI Learns

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