20. https://bimarabia.com/OmarSelim/
Intelligence of machines today
●The main focus in AI today is getting a computer to recognize,
make senses and recreate in what it sees and hears.
●Acting according to us.
●Recognizing a face.
●Navigating a busy street.
●Understanding what someone says.
44. https://bimarabia.com/OmarSelim/
Unsupervised Learning vs. Supervised
Learning
,
Training Text
Documents,
Images, etc.
Feature
Vectors
Machine
Learning
Algorithm
New Text,
Document,
Images, etc.
Feature
Vectors
Predictive
Model
Likelihood
or Cluster ID
or Better
Representation
Labels
,
Training Text
Documents,
Images, etc.
Feature
Vectors
Machine
Learning
Algorithm
New Text,
Document,
Images, etc.
Feature
Vectors
Predictive
Model
Expected
Label
The only difference is the labels in the training data
46. https://bimarabia.com/OmarSelim/
ﻟﻺﺷراف اﻟﺧﺎﺿﻊ ﻏﯾر اﻟﺗﻌﻠم ﺗطﺑﯾق
0 2 4 6 8 10
-2
-1
0
1
2
3
4
5
6
7
اﻟﺗﺷﺎﺑﮫ أوﺟﮫ ﺗﺣدﯾد
اﻟﻣﺟﻣوﻋﺎت ﻓﻲ
(Clustering)
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0.9
0 0.1 0.2 0.3 0.4
0.5 0.6
0.7
0.8
0.9
0.1
+
+
+
+
+
+
+
+
++
+
+++
+
x
x
x
x
x xx
x
x
x
x
x
x x
x
x
xx
0.0251
0.0033
0.008
0.0119
Anomaly
detection
Unsupervised learning can be used for anomaly detection as well as
clustering
78. ML Algorithms: Artificial Neural Network
Source: https://www.intechopen.com/source/html/39067/media/image1.png
A) human neuron;
B) artificial neuron;
C) biological synapse;
D) ANN synapses
86. https://bimarabia.com/OmarSelim/
Artificial Intelligence in Practice
Concierge robot from IBM
Watson
Sources: documentarytube, wired, Quora
Self-driving cars Google’s AlphaGo
Chess
Siri(iPhone)
Amazon ECHO
AI is redefining industries by providing greater personalization to users and automating
processes.
117. https://bimarabia.com/OmarSelim/
Image-to-Image Demo
Interactive Image Translation with pix2pix-tensorflow
Written by Christopher Hesse — February 19th
, 2017
Recently, I made a Tensorflow port of pix2pix by Isola et al., covered in the article Image-to-Image
Translation in Tensorflow. I've taken a few pre-trained models and made an interactive web thing
for trying them out. Chrome is recommended.
The pix2pix model works by training on pairs of images such as building facade labels to building
facades, and then attempts to generate the corresponding output image from any input image you
give it. The idea is straight from the pix2pix paper, which is a good read.