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Transfer Learning: Standing on Giant Shoulders
Pretrained ResNet on a Small Dataset → Medical Imaging Analysis Why Transfer Learning? When your dataset is small (hundreds to a few thousand images),…

Convolutional Neural Networks (CNNs): From Pixels to Decisions
CIFAR-10 Image Classification → Manufacturing Defect Detection Why CNNs? If your data is made of pixels—product photos, x-rays, traffic cameras, satellite images—CNNs are the…

Feedforward Neural Networks: From Pixels to Predictions
MNIST Handwritten Digits → Bank Check Digit Recognition Why this concept matters Feedforward neural networks (a.k.a. multilayer perceptrons, MLPs) are the canonical “hello world”…

Perceptron: The Linear Building Block of Neural Networks
AND/OR Logic Gate → Early AI Classifiers Why this concept matters The perceptron is the simplest neuron you can build: it takes a vector…

Classical Planning (STRIPS): From Symbols to Sequencing
Blocks World → Warehouse Robot Task Scheduling Why Classical Planning? When you ask a robot “put all the blue boxes on shelf A, then…




