Coursera_deep_learning
This something about deep learning on Coursera by Andrew Ng
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최종 버전 다운로드 (.zip)- README.md
- test_signs.h5
- train_signs.h5
- cnn_utils.py
- Convolution+model+-+Application+-+v1.ipynb
- Convolution+model+-+Application+-+v1.py
- Convolution+model+-+Step+by+Step+-+v2.ipynb
- Convolution+model+-+Step+by+Step+-+v2.py
- README.md
- README.md
- README.md
- Keras+-+Tutorial+-+Happy+House+v2.ipynb
- Keras+-+Tutorial+-+Happy+House+v2.py
- kt_utils.py
- README.md
- Residual+Networks+-+v2.ipynb
- Residual+Networks+-+v2.py
- resnets_utils.py
- README.md
- test.jpg
- test2.jpg
- test3.jpg
- coco_classes.txt
- object_classes.txt
- README.md
- yolo_anchors.txt
- README.md
- test.jpg
- test2.jpg
- test3.jpg
- keras_darknet19.py
- keras_yolo.py
- README.md
- __init__.py
- README.md
- utils.py
- note
- Autonomous+driving+application+-+Car+detection+-+v1.ipynb
- Autonomous+driving+application+-+Car+detection+-+v1.py
- README.md
- yolo_utils.py
- README.md
- README.md
- Face+Recognition+for+the+Happy+House+-+v3.ipynb
- Face+Recognition+for+the+Happy+House+-+v3.py
- fr_utils.py
- inception_blocks_v2.py
- README.md
- README.md
- README.md
- README.md
- Art+Generation+with+Neural+Style+Transfer+-+v2.ipynb
- Art+Generation+with+Neural+Style+Transfer+-+v2.py
- louvre_generated.png
- nst_utils.py
- README.md
- README.md
- README.md
- 1.png
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- 2.png
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- 53.png
- 54.png
- 55.png
- 6.png
- 7.png
- 8.png
- 9.png
- image.md
- Gradient+Checking+v1.ipynb
- Gradient+Checking+v1.py
- init_utils.py
- Initialization.ipynb
- Initialization.py
- README.md
- reg_utils.py
- Regularization.ipynb
- Regularization.py
- Optimization+methods.ipynb
- Optimization+methods.py
- readme.md
- readme.md
- Tensorflow+Tutorial.ipynb
- Tensorflow+Tutorial.py
- note.md
- Logistic+Regression+with+a+Neural+Network+mindset+v4.ipynb
- lr_utils.py
- README.md
- Planar+data+classification+with+one+hidden+layer+v4.ipynb
- Planar+data+classification+with+one+hidden+layer+v4.py
- README.md
- Building+your+Deep+Neural+Network+-+Step+by+Step+v5.ipynb
- Building+your+Deep+Neural+Network+-+Step+by+Step+v5.py
- Deep+Neural+Network+-+Application+v3.ipynb
- Deep+Neural+Network+-+Application+v3.py
- dnn_app_utils_v2.py
- readme.md
- note.md
- model_shakespeare_kiank.h5
- model_shakespeare_kiank_350_epoch.h5
- README.md
- dinos.txt
- Dinosaurus+Island+--+Character+level+language+model+final+-+v3.ipynb
- Dinosaurus+Island+--+Character+level+language+model+final+-+v3.py
- README.md
- shakespeare.txt
- shakespeare_utils.py
- utils.py
- 1.png
- 10.png
- 11.png
- 12.png
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- 14.png
- 15.png
- 16.png
- 2.png
- 3.png
- 4.png
- 5.png
- 6.png
- 7.png
- 8.png
- 9.png
- README.md
- data_utils.py
- grammar.py
- Improvise+a+Jazz+Solo+with+an+LSTM+Network+-+v1.ipynb
- Improvise+a+Jazz+Solo+with+an+LSTM+Network+-+v1.py
- inference_code.py
- midi.py
- music_utils.py
- my_music.midi
- preprocess.py
- qa.py
- README.md
- Building+a+Recurrent+Neural+Network+-+Step+by+Step+-+v3.ipynb
- Building+a+Recurrent+Neural+Network+-+Step+by+Step+-+v3.py
- README.md
- rnn_utils.py
- README.md
- emojify_data.csv
- README.md
- tes.csv
- tess.csv
- tesss.csv
- test_emoji.csv
- testing.csv
- train_emoji.csv
- emo_utils.py
- Emojify+-+v2.ipynb
- Emojify+-+v2.py
- README.md
- 20.png
- 21.png
- 22.png
- 23.png
- 24.png
- 25.png
- 26.png
- 27.png
- 28.png
- 29.png
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- 31.png
- 32.png
- 33.png
- 34.png
- 35.png
- 36.png
- 37.png
- 38.png
- 39.png
- 40.png
- note
- README.md
- Operations+on+word+vectors+-+v2.ipynb
- Operations+on+word+vectors+-+v2.py
- README.md
- w2v_utils.py
- README.md
- 41.png
- 42.png
- 43.png
- 44.png
- 45.png
- 46.png
- 47.png
- 48.png
- 49.png
- 50.png
- 51.png
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- 55.png
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- 58.png
- 59.png
- 60.png
- 61.png
- 62.png
- model.png
- note
- README.md
- Neural+machine+translation+with+attention+-+v2.ipynb
- Neural+machine+translation+with+attention+-+v2.py
- nmt_utils.py
- README.md
- README.md
- README.md
- td_utils.py
- Trigger+word+detection+-+v1.ipynb
- Trigger+word+detection+-+v1.py
- README.md
- README.md
- README.md
// repository documentation
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