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…
ARTIFICIAL INTELLIGENCE (7) – Deep learning (5) Transfer learning. Shallow Classifier
In many machine learning problems, we do not have enough labeled data to train a deep neural network from scratch.…
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