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TensorFlow - od zera do jeden
Mateusz Budzar
Droids On Roids
TensorFlow - od zera do jeden
Agenda
Mateusz Budzar
Android Developer @ Droids On Roids
GDG Wrocław co-org
@MateuszBudzar
mateuszmakor.budzar
Mateusz Budzar
@mateuszbudzar
makorowy
budzar.mateusz@gmail.com
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
Programowanie
/ @MateuszBudzar
Programowanie
/ @MateuszBudzar
Uczenie maszynowe
Programowanie
/ @MateuszBudzar
Uczenie maszynowe
Programowanie
TensorFlow
/ @MateuszBudzar
/ @MateuszBudzar
Komputer
/ @MateuszBudzar
Komputer
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
Klasyfikator
?
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
Dane
/ @MateuszBudzar
Oczyszczone
dane
Dane
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Dane
Oczyszczone
dane
Zbiór
tren
Zbiór
test
/ @MateuszBudzar
Dane
Oczyszczone
dane
Zbiór
tren
Zbiór
test
Trenowanie
/ @MateuszBudzar
Trenowanie EwaluacjaDane
Oczyszczone
dane
Zbiór
tren
Zbiór
test
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Dane
Oczyszczone
dane
Zbiór
tren
Zbiór
test
Trenowanie Ewaluacja Zapis
/ @MateuszBudzar
Dane
Oczyszczone
dane
Zbiór
tren
Zbiór
test
Trenowanie Ewaluacja Zapis
Uczenie maszynowe nadzorowane

(Supervised Machine Learning)
/ @MateuszBudzar
/ @MateuszBudzar
/ @MateuszBudzar
0
0
/ @MateuszBudzar
0
0
/ @MateuszBudzar
0
0
x1 + x2 > b
/ @MateuszBudzar
0
0
w1x1 + w2x2 > b
/ @MateuszBudzar
0
0
w1x1 + w2x2 > b
/ @MateuszBudzar
denderyty
ciało
akson
/ @MateuszBudzar
/ @MateuszBudzar
x1
x2
w1
w2
>b?
Perceptron
/ @MateuszBudzar
x1
x2
w1
w2
>b?
w1x1 + w2x2 > b
Perceptron
/ @MateuszBudzar
x1
x2
w1
w2
>b?
w1x1 + w2x2 > b
Perceptron
/ @MateuszBudzar
0
0
/ @MateuszBudzar
0
0
/ @MateuszBudzar
Playground
/ @MateuszBudzar
Symulacja 3D Sieci Neuronowej
na zbiorze MNIST
(https://goo.gl/tLwea4)
/ @MateuszBudzar
/ @MateuszBudzar
warstwa
wejściowa
warstwy
ukryte
warstwa
wyjściowa
/ @MateuszBudzar
Twoja opinia na temat mojej prelekcji jest dla mnie bardzo ważna.


1. Wejdź w mój wykład znajdujący się w agendzie w aplikacji
Eventory.
2. Oceń moją prelekcję i dodaj swój komentarz.


Dzięki temu będę wiedział/a, co Ci się podobało a co powinienem/am
ulepszyć!
/ @MateuszBudzar
/ @MateuszBudzar
Linki
1. Utworzona sieć neuronowa (Jupyter notebook) + zbiór danych:

https://goo.gl/kdW466
2. Understanding Neural Network with TensorFlow Playground:

https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-tensorflow-playground
3. Complete Guide to TensorFlow for Deep Learning with Python:

https://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python/learn/v4/overview
4. Neural Network 3D Simulation:

https://www.youtube.com/watch?v=3JQ3hYko51Y
5. Codelabs - TensorFlow for Poets:

https://codelabs.developers.google.com/?cat=TensorFlow
6. Quick Guide to Deep Learning:

https://medium.freecodecamp.org/want-to-know-how-deep-learning-works-heres-a-quick-guide-for-
everyone-1aedeca88076
/ @MateuszBudzar
Linki
7. Anaconda + Jupyter:

https://www.anaconda.com/download/

http://jupyter.org/
8. Learning TensorFlow:

https://learningtensorflow.com/index.html
9. TensorFlow Tutorial: 10 minutes practical TensorFlow Lesson for quick learners:

http://cv-tricks.com/artificial-intelligence/deep-learning/deep-learning-frameworks/tensorflow/tensorflow-tutorial/
10.TensorFlow Tutorial 2: Image classifier using Convolutional Neural Network:

http://cv-tricks.com/tensorflow-tutorial/training-convolutional-neural-network-for-image-classification/
11.Convolutional Neural Network - Image kernels for the rescue:

http://setosa.io/ev/image-kernels/
TesorFlow - od zera do jeden

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TesorFlow - od zera do jeden