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GitHub / JJashim / Stanford-CS231n
My solution to stanford cs231n: CNN for visual recognition
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JJashim%2FStanford-CS231n
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 5.8 MB
Dependencies:
137
Created: over 6 years ago
Updated: almost 5 years ago
Last pushed: over 6 years ago
Last synced: about 1 year ago
Topics: cnn-for-visual-recognition, convolutional-neural-networks, cs231n, cs231n-assignment, deep-neural-networks, image-captioning, stanford
Files
Dependencies
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- MarkupSafe ==0.23
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- appnope ==0.1.0
- backports-abc ==0.4
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- certifi ==2015.11.20.1
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- functools32 ==3.2.3
- gnureadline ==6.3.3
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- notebook ==4.0.6
- numpy ==1.10.4
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- pexpect ==4.0.1
- pickleshare ==0.5
- pillow ==3.1.0
- ptyprocess ==0.5
- pyparsing ==2.0.7
- python-dateutil ==2.4.2
- pytz ==2015.7
- pyzmq ==15.1.0
- qtconsole ==4.1.1
- scipy ==0.16.1
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- tornado ==4.3
- traitlets ==4.0.0
- wsgiref ==0.1.2
- Cython ==0.23.4
- Jinja2 ==2.8
- MarkupSafe ==0.23
- Pillow ==3.0.0
- Pygments ==2.0.2
- appnope ==0.1.0
- argparse ==1.2.1
- backports-abc ==0.4
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- certifi ==2015.11.20.1
- cycler ==0.9.0
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- functools32 ==3.2.3
- gnureadline ==6.3.3
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- path.py ==8.1.2
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- python-dateutil ==2.4.2
- pytz ==2015.7
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- traitlets ==4.0.0
- wsgiref ==0.1.2
- Cython ==0.23.4
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- Pygments ==2.0.2
- appnope ==0.1.0
- argparse ==1.2.1
- backports-abc ==0.4
- backports.ssl-match-hostname ==3.5.0.1
- certifi ==2015.11.20.1
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- functools32 ==3.2.3
- gnureadline ==6.3.3
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- jupyter ==1.0.0
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- numpy ==1.10.4
- path.py ==8.1.2
- pexpect ==4.0.1
- pickleshare ==0.5
- ptyprocess ==0.5
- pyparsing ==2.0.7
- python-dateutil ==2.4.2
- pytz ==2015.7
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- scipy ==0.16.1
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- singledispatch ==3.4.0.3
- six ==1.10.0
- terminado ==0.5
- tornado ==4.3
- traitlets ==4.0.0
- wsgiref ==0.1.2