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Showing 13–24 of 39

13
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.

This month

Last 30 days

Akanshu Sharma · Aug 30, 2026 · 23 min read

Machine Learning

K-Fold, Stratified & Time Series Cross-Validation Explained Simply

Learn cross-validation in machine learning with simple examples. Understand K-Fold, Stratified K-Fold, Group K-Fold, Time Series CV, and common mistakes.

Akanshu Sharma · Aug 14, 2026 · 20 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 Sharma · Aug 22, 2026 · 20 min read

Artificial Intelligence

Top 10 Free AI Tools Every Student Should Use in 2026

Looking for the best free AI tools in 2026? Discover 10 powerful AI tools that help students study smarter, improve productivity, complete assignments faster, and learn new skills with practical examples.

Akanshu Sharma · Jul 24, 2026 · 3 min read

Machine Learning

Precision, Recall & F1 Score Explained with Simple Real-Life Examples

Accuracy can be deeply misleading in imbalanced datasets. This guide breaks down Precision, Recall, and F1 Score using simple real-world examples like fraud detection and medical screening, so you can easily choose the r

Akanshu Sharma · Aug 13, 2026 · 17 min read

Deep Learning

RNN & LSTM Explained for Time Series Forecasting

Learn how RNNs and LSTMs understand sequence data and use past information to make predictions, with simple examples from stock prices and weather forecasting.

Akanshu Sharma · Aug 24, 2026 · 22 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 Sharma · 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 Sharma · Sep 1, 2026 · 21 min read

Deep Learning

Neural Style Transfer Step by Step

Learn how neural style transfer combines a normal photo with the artistic look of a painting using CNNs, VGG19, and simple deep learning concepts.

Akanshu Sharma · Sep 4, 2026 · 23 min read

Machine Learning

Feature Engineering in Machine Learning: A Beginner’s Guide

Learn feature engineering in machine learning with simple, real-life examples. Understand how to handle missing values, scale data, encode categories, create useful features, and avoid data leakage.

Akanshu Sharma · Aug 11, 2026 · 21 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 Sharma · Jul 31, 2026 · 28 min read

Deep Learning

Autoencoders & Denoising Autoencoders Explained

Learn autoencoders through simple real-life examples, from cleaning noisy photos to finding unusual patterns in data.

Akanshu Sharma · Sep 2, 2026 · 22 min read

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