In many machine‑learning models—especially logistic regression—we make predictions that look like a score between 0 and 1. This score can…
ARTIFICIAL INTELLIGENCE (12) – Deep learning (10) Why Only the First Layer of a CNN Can Be Visualised as an RGB Image
Convolutional Neural Networks (CNNs) are made of many layers stacked together, each transforming the input image into more abstract representations.…
ARTIFICIAL INTELLIGENCE (11) – Deep learning (9) The Night of the Sigmoid Curve
A gentle horror story about a friendly function that turns fear into probabilities. On a foggy night, in a valley…
ARTIFICIAL INTELLIGENCE (10) – Deep learning (8) A Very Simple Guide to Binary Classification
Imagine you have a big box of toys, and you want to separate them into two groups: Toys you want…
ARTIFICIAL INTELLIGENCE (9) – Deep learning (7) The Backpropagation algorithm
Backpropagation is a method used to teach a neural network how to make better predictions. The idea is similar to…
ARTIFICIAL INTELLIGENCE (8) – Deep learning (6) Gradient-based learning applied to document recognition (1)
In recent years, machine learning—especially neural networks—has become increasingly important in designing pattern recognition systems. The availability of effective learning…
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