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Showing 13–24 of 45

13
Artificial Intelligence
How Neural Networks Work
Learn how neural networks work through simple real-life examples, from neurons and hidden layers to weights, bias, activation functions, and AI predictions.

This month

Last 30 days

Akanshu Dutt · Aug 20, 2026 · 23 min read

Machine Learning

Principal Component Analysis (PCA) Explained for Beginners

Learn Principal Component Analysis (PCA) step-by-step. Discover dimensionality reduction, eigenvalues, eigenvectors, and Python implementation for beginners.

Akanshu Dutt · Aug 8, 2026 · 20 min read

Deep Learning

Loss Functions Explained: MSE vs Cross-Entropy

Learn how neural networks measure mistakes using MSE and cross-entropy, with simple examples that make regression and classification loss easy to understand.

Akanshu Dutt · Aug 26, 2026 · 21 min read

Deep Learning

Batch Normalization & Dropout Explained

Learn Batch Normalization and Dropout with simple examples and see how they improve neural network training and reduce overfitting.

Akanshu Dutt · Aug 27, 2026 · 22 min read

Deep Learning

U-Net Image Segmentation Explained

Learn U-Net image segmentation with a simple brain MRI example and understand how the model finds tumor regions pixel by pixel.

Akanshu Dutt · Sep 1, 2026 · 21 min read

Deep Learning

CNNs , Convolutional Neural Networks Explained

Learn how CNNs understand images and detect factory defects like scratches, cracks, dents, and missing parts using a simple real-world example.

Akanshu Dutt · Aug 22, 2026 · 20 min read

Transformers

BERT Model Explained

BERT changed how machines understand human language by reading words in context. Learn its architecture, training process, real-world uses, and how it improves

Akanshu Dutt · Sep 14, 2026 · 35 min read

Machine Learning

Self-Supervised Learning Explained: How AI Learns Without Labeled Data

Discover how Self-Supervised Learning (SSL) eliminates the manual data labeling bottleneck. This complete guide covers SSL workflows, core objective families, key model architectures (BERT, SimCLR, MAE), evaluation metri

Akanshu Dutt · Jul 31, 2026 · 28 min read

Deep Learning

Transfer Learning for Plant Disease Detection

Learn how a pre-trained ResNet model can be fine-tuned to identify plant diseases from leaf photos, even when only a small dataset is available.

Akanshu Dutt · Aug 30, 2026 · 23 min read

Deep Learning

Vanishing & Exploding Gradients: Causes and Fixes

Vanishing and exploding gradients can quietly break deep neural network training. Learn why they happen, how to spot them, and how to fix them.

Akanshu Dutt · Sep 5, 2026 · 21 min read

Artificial Intelligence

How AI Works: From Basics to Real-World Applications

Discover how AI works, from data and machine learning to neural networks, generative AI, real-world uses, limitations, risks, and future trends.

Akanshu Dutt · Jul 25, 2026 · 23 min read

Machine Learning

Logistic Regression Explained: A Practical Deep Dive

Understand logistic regression from the ground up, including probabilities, sigmoid function, log-odds, coefficients, regularization, evaluation metrics, threshold selection, Python implementation, and real-world classif

Akanshu Dutt · Aug 3, 2026 · 30 min read

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