Added classification chapter
This commit is contained in:
Clemens Dautermann
parent
f20007b599
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f18b99c981
11 changed files with 1552 additions and 203 deletions
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[17 <../graphics/mnist_5/conv_pool/upper_horiz_pooled.png> <../graphics/mnist_5
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[18 <../graphics/mnist_5/conv_pool/upper_horiz_pooled.png> <../graphics/mnist_5
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led.png> <../graphics/mnist_5/conv_pool/right_vert_pooled.png> <../graphics/mni
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st_5/conv_pool/upper_horiz_avgpooled.png> <../graphics/mnist_5/conv_pool/left_v
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\T1/LinuxBiolinumT-TLF/m/n/10 Quelle: https://towardsdatascience.com/common-los
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s-functions-in-machine-
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[]
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\T1/LinuxBiolinumT-TLF/m/n/10 https://github.com/vdumoulin/conv_arithmetic/blo
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[20]
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[][] [][]\T1/LinuxBiolinumT-TLF/m/n/10 Beispiele für low- mid- und high-level
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Fea-tu-res in Con-vo-lu-tio-nal Neural
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[]
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\tf@lof=\write7
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Here is how much of TeX's memory you used:
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Output written on Grundlagen_des_maschinellen_lernens.pdf (21 pages, 1178389 by
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Output written on Grundlagen_des_maschinellen_lernens.pdf (22 pages, 1229576 by
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PDF statistics:
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438 words of extra memory for PDF output out of 10000 (max. 10000000)
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