MOOC - Computer Vision Expert
Artificial Intelligence Overview
The first unit is an introduction to artificial intelligence and related concepts such as machine learning and deep learning that provides learners a broad overview of artificial intelligence and its main particularities.
Underpinnings of Deep Learning:
This learning element is an overview of deep learning, a particular branch of artificial intelligence. This element briefly addresses the fundamental knowledge about deep learning required to perform computer vision techniques, providing students a broad overview of this area.
CVE.U1.E3.PC1
The student is able to define deep learning.
CVE.U1.E3.PC2
The student understands the connection and the differences between artificial intelligence, machine learning and deep learning.
CVE.U1.E3.PC3
The student understands the nature, purpose and applications of an artificial neuron.
CVE.U1.E3.PC4
The student recognizes and understands the similarities between a computational neuron and a human neuron.
CVE.U1.E3.PC5
The student knows the most commonly used activation functions for artificial neurons.
CVE.U1.E3.PC6
The student is able to define and explain what an artificial neural network is.
CVE.U1.E3.PC7
The student knows some of the most common neural networks like perceptron, multi-layer perceptron, feed-forward, backpropagation, etc.
CVE.U1.E3.PC8
The student is able to define Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) and explain their differences.