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Evaluation künstlicher neuronaler Netze für eine OOS-Erkennung
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Dennis Willers
Evaluation künstlicher neuronaler Netze für eine OOS-Erkennung
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36d2f3e8
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36d2f3e8
authored
Jan 21, 2023
by
Okan Celik
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requirements.txt
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36d2f3e8
absl-py
==1.4.0
astunparse
==1.6.3
cachetools
==5.2.1
certifi
==2022.12.7
charset-normalizer
==3.0.1
contourpy
==1.0.7
cycler
==0.11.0
et-xmlfile
==1.1.0
flatbuffers
==23.1.4
fonttools
==4.38.0
gast
==0.4.0
google-auth
==2.16.0
google-auth-oauthlib
==0.4.6
google-pasta
==0.2.0
grpcio
==1.51.1
h5py
==3.7.0
idna
==3.4
keras
==2.11.0
kiwisolver
==1.4.4
libclang
==15.0.6.1
Markdown
==3.4.1
MarkupSafe
==2.1.2
matplotlib
==3.6.3
matplotlib
==3.6.3
numpy
==1.24.1
oauthlib
==3.2.2
openpyxl
==3.0.10
openpyxl
==3.0.10
opt-einsum
==3.3.0
packaging
==23.0
Pillow
==9.4.0
protobuf
==3.19.6
pyasn1
==0.4.8
pyasn1-modules
==0.2.8
pyparsing
==3.0.9
python-dateutil
==2.8.2
PyYAML
==6.0
PyYAML
==6.0
requests
==2.28.2
requests-oauthlib
==1.3.1
rsa
==4.9
scipy
==1.10.0
scipy
==1.10.0
six
==1.16.0
tensorboard
==2.11.2
tensorboard-data-server
==0.6.1
tensorboard-plugin-wit
==1.8.1
tensorflow
==2.11.0
tensorflow
==2.11.0
tensorflow-estimator
==2.11.0
tensorflow-io-gcs-filesystem
==0.29.0
termcolor
==2.2.0
typing_extensions
==4.4.0
urllib3
==1.26.14
Werkzeug
==2.2.2
wrapt
==1.14.1
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