X - F + 2P S
@ejlbell
1 +
Convolution
1
0
4
ImageConvoluted
Feature
Image Filters
-1
-2
+1
+2
X
X = image size
F
F = filter size
XX = image size
P = padding
P
S = stride
Filter Size
1 × 1 3 × 3 7 × 7 9 × 95 × 5
Max Pooling
6
2
5
3
8
3X
Y
Example: VGG
19 layers
3x3 convolution
pad 1
stride 1
1 + = X
Resources • image size
• parameters (dense vs conv)
• parallelisation (data vs model)
thanks @ejlbell
References
A Map of the PyData Stack
Technology
Luigi PyData presentation
Memex - Pydata, New York 2015
Andreas Schreiber PyData Berlin ... PyData Quantified Self.pdf · Python User since 1992 DLR.de • Chart 3 > PyData Berlin 2014 > Andreas Schreiber
Documents
PyData Lonon - Finding Planets with Python
Science
Bokeh Tutorial - PyData @ Strata San Jose 2015
Data & Analytics
Pydata-Python tools for webscraping
PyData London News 2nd September 2014
News & Politics
PyData Berlin Meetup
Internet
H2O Random Grid Search - PyData Amsterdam
Software
PyData NYC 2015
PyData Paris 2015 - Track 3.1 Niels Zeilemaker
Wide IO Presentation PyData London
PyData London News 7th October 2014
PyData NYC 2014 talk
2020 Sponsor Prospectus - PyData · 2020 Sponsor Prospectus. An educational program of. ABOUT PYDATA. PyData is an educational program of NumFOCUS, a 501(c)3 non- ... What are the
2018 - PyData · 2018. What is PyData? PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from one another.
PyData NYC by Akira Shibata