AI03-Topic01, Lecture
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Contents
- Note 01, Installation of python
- Note 02, Introduction to python
- Note 03, Trajectory
- Note 04, Approximate value
- Note 05, Numerical method, Diffrential equation
- Note 06, Curve fitting
- Note 07, Perceptron
- Note 08, Monte carlo
- Note 09, Training nueral net
- Note 10, Application(1)
- Note 11, Application(2)
Note 01, Installation of python
Note 1, [ipynb][]
Note 02, Introduction to python
Note 2, [ipynb][]
Note 03, Trajectory
Note 3, [ipynb][]
Parabolic trajectory
The average annual temperature of Seoul
Note 04, Approximate value
Note 4, [ipynb][]
Circular constant
Riemann-zeta function
Note 05, Numerical method, Diffrential equation
Note 5, [ipynb][]
Parabolic motion with air resistance
MERS
Note 06, Curve fitting
Note 6, [ipynb][]
Hubble constant
Note 07, Perceptron
Note 7, [ipynb][]
AND
XOR
Note 08, Monte carlo
Note 8, [ipynb][]
Circular area
Numerical integral
Matropolis algorithm and Ising model
Note 09, Training nueral net
Note 9, [ipynb][]
Note 10, Application(1)
Note 10, [ipynb][]
MNIST hand-written digit numbers
Note 11, Application(2)
Note 11, [ipynb][]
Voronoi cell, magnitude of earthquake
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Reference
OUTPUT
<details markdown="1">
<summary class='jb-small' style="color:red">OUTPUT</summary>
<hr class='division3_1'>
<hr class='division3_1'>
</details>