@djk2004

Divyajot Kaur

@djk2004Joined December 2025

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Divyajot Kaur's blogs

What is Artificial Intelligence? A Beginner’s Guideai-beginners-journey.hashnode.dev25 posts

From Handwriting to Textfrom-handwriting-to-text.hashnode.dev1 post

Part 25: Loss Function Explained: How Does a Neural Network Know It Is Wrong?

Imagine you are learning to bake a cake for the first time. You follow a recipe, but the cake turns out too sweet. The next time, you reduce the sugar. You taste it again and make further adjustments

1Oct 16 · 5 min readai-beginners-journey.hashnode.dev

Part 24: Epochs, Batches, and Iterations: How a Model Learns from Data

When we train a machine learning or deep learning model, we don't simply give it all the data once and expect it to learn everything immediately. Instead, the model processes the training data in smal

Oct 5 · 4 min readai-beginners-journey.hashnode.dev

Part 23: Types of Gradient Descent: Batch, Mini-Batch & Stochastic

In the previous blog, we learned about Gradient Descent—an optimization algorithm that helps a machine learning model reduce its error by gradually adjusting its weights. But there is an important que

Sep 26 · 5 min readai-beginners-journey.hashnode.dev

Part 22: Gradient Descent: How Neural Networks Find Better Weights

Imagine you are standing on top of a mountain, but it's completely dark. 🌙 Your goal is to reach the lowest point in the valley. You can't see the entire path, so what would you do? You might take a

Sep 21 · 5 min readai-beginners-journey.hashnode.dev

Part 21: Backpropagation: How Neural Networks Learn From Their Mistakes

Imagine you are learning to shoot basketball hoops. 🏀 You take a shot, but the ball misses the basket. Instead of simply trying again randomly, you think: “I aimed too far to the left. Next time, I s

3Sep 5 · 5 min readai-beginners-journey.hashnode.dev

Divyajot Kaur

About

Available for

Divyajot Kaur's blogs

Part 25: Loss Function Explained: How Does a Neural Network Know It Is Wrong?

Part 24: Epochs, Batches, and Iterations: How a Model Learns from Data

Part 23: Types of Gradient Descent: Batch, Mini-Batch & Stochastic

Part 22: Gradient Descent: How Neural Networks Find Better Weights

Part 21: Backpropagation: How Neural Networks Learn From Their Mistakes

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Divyajot Kaur

About

Available for

Divyajot Kaur's blogs

Part 25: Loss Function Explained: How Does a Neural Network Know It Is Wrong?

Part 24: Epochs, Batches, and Iterations: How a Model Learns from Data

Part 23: Types of Gradient Descent: Batch, Mini-Batch & Stochastic

Part 22: Gradient Descent: How Neural Networks Find Better Weights

Part 21: Backpropagation: How Neural Networks Learn From Their Mistakes