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Python SoSe 2020

Stefano Piemonte
1 - First introduction to Python
1 - First introduction to Python

GRIPS-Kurs
69
01:48:57
Stefano Piemonte
10 - MNIST and tensorflow
10 - MNIST and tensorflow

GRIPS-Kurs
39
01:52:00
Stefano Piemonte
11 - Machine learning and softmax regression
11 - Machine learning and softmax regression

GRIPS-Kurs
27
02:07:47
Stefano Piemonte
12 - Keras and neural networks
12 - Keras and neural networks

GRIPS-Kurs
26
02:15:28
Stefano Piemonte
13 - Principal component analysis
13 - Principal component analysis

GRIPS-Kurs
10
01:26:32
Stefano Piemonte
14 - PCA and vector spaces
14 - PCA and vector spaces

GRIPS-Kurs
19
02:07:02
Stefano Piemonte
15 - Neurons and neural networks
15 - Neurons and neural networks

GRIPS-Kurs
12
01:48:14
Stefano Piemonte
16 - Convolutional neural networks
16 - Convolutional neural networks

GRIPS-Kurs
9
02:08:04
Stefano Piemonte
17 - ResNet
17 - ResNet

GRIPS-Kurs
2
01:59:34
Stefano Piemonte
18 - Introduction to reinforcement learning
18 - Introduction to reinforcement learning

GRIPS-Kurs
3
01:40:39
Stefano Piemonte
19 - Reinforcement learning
19 - Reinforcement learning

GRIPS-Kurs
4
01:59:23
Stefano Piemonte
2 - Functions and decorators
2 - Functions and decorators

GRIPS-Kurs
38
01:52:45
Stefano Piemonte
3 - Classes
3 - Classes

GRIPS-Kurs
15
02:00:38
Stefano Piemonte
4 - Inheritance
4 - Inheritance

GRIPS-Kurs
21
01:39:08
Stefano Piemonte
5 - Classes as instances of type
5 - Classes as instances of type

GRIPS-Kurs
21
01:40:48
Stefano Piemonte
6 - Metaclasses, iterators, singleton
6 - Metaclasses, iterators, singleton

GRIPS-Kurs
23
01:52:32
Stefano Piemonte
7 - Decorator pattern and numba
7 - Decorator pattern and numba

GRIPS-Kurs
62
02:03:37
Stefano Piemonte
8 - Numpy and numba
8 - Numpy and numba

GRIPS-Kurs
18
01:48:59
Stefano Piemonte
9 - Zeros, maxima and minima of a function
9 - Zeros, maxima and minima of a function

GRIPS-Kurs
26
01:48:49