KI PHI
WEEK 02
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Intro

About Me
UX, UI, CODE
Designer and coder. Background in code, worked mostly in design...
Part 1: AI Learning - Algorithms and Experiences
1.1 AI/ML/DL
AI
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.

ML
Machine Learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world.
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So rather than hand-coding software routines with a specific set of instructions to accomplish a particular task, the machine is “trained” using large amounts of data and algorithms that give it the ability to learn how to perform the task.


1.2 The steps of ML

1.3 What is a neural network?


1.4 What is Deep Learning
DL
Deep learning is a specific subfield of machine learning, a new take on learning representations from data which puts an emphasis on learning successive "layers" of increasingly meaningful representations.
The 'Deep' in Deep Learning


Part 2: Human Learning - A Philosophical View
Is man an unnatural animal?
A denatured animal...
Animal baby...
We are failed animals
We are accomplished humans
Invent
Space for freedom
Existence precede essence
Part 3: Practice
Perspectives


George Berkeley - Objects cannot exist without being perceived

The perceiving body and its perceived world could not be disentangled from each other

Credits
- Photos unsplash.com
- Diagrams mostly Deep Learning With Python by François Chollet