deep-learning-specialization-coursera-master.zip
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2017-11-20
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deep-learning-specialization-coursera-master.zip （104个子文件） 
opt2.gif 893KB opt1.gif 714KB sgd_bad.gif 63KB sgd.gif 41KB
.gitignore 1KB train_catvnoncat.h5 2.45MB train_catvnoncat.h5 2.45MB train_catvnoncat.h5 2.45MB test_catvnoncat.h5 602KB test_catvnoncat.h5 602KB test_catvnoncat.h5 602KB Deep+Neural+Network+-+Application+v3.ipynb 1.95MB Planar+data+classification+with+one+hidden+layer+v2.ipynb 1.03MB Logistic+Regression+with+a+Neural+Network+mindset+v3.ipynb 769KB Optimization+methods.ipynb 377KB Initialization.ipynb 270KB Regularization.ipynb 269KB Tensorflow+Tutorial.ipynb 212KB Building+your+Deep+Neural+Network+-+Step+by+Step+v3.ipynb 55KB Python+Basics+With+Numpy+v2.ipynb 43KB Planar+data+classification+with+one+hidden+layer+v3.ipynb 42KB Gradient+Checking.ipynb 28KB hyperparameter-tuning-and-programming-frameworks.ipynb 11KB shallow-neural-network.ipynb 9KB Practical-aspects-of-Deep-Learning.ipynb 9KB 02-vectorization.ipynb 8KB optimization-algoritihms.ipynb 7KB 01-Logistic-Regression-as-a-Neural-Network.ipynb 5KB deep-neural-networks.ipynb 5KB
thumbs_up.jpg 989KB cost.jpg 859KB my_image.jpg 621KB cat_in_iran.jpg 587KB la_defense.jpg 332KB gargouille.jpg 303KB my_image.jpg 92KB my_image2.jpg 92KB LICENSE 1KB data.mat 6KB data.mat 6KB README.md 8KB
dropout2_kiank.mp4 2.35MB dropout1_kiank.mp4 1.63MB
quiz1.pdf 681KB quiz.pdf 660KB quiz.pdf 383KB standard-notation.pdf 256KB quiz.pdf 196KB quiz.pdf 195KB quiz.pdf 159KB quiz.pdf 143KB
handforward_kiank.png 2.14MB handbackward_kiank.png 1.67MB structure.png 1.1MB nm_backward.png 871KB n_model_backward.png 761KB grad_summary.png 666KB hands.png 565KB final outline.png 557KB NlayerNN.png 482KB 2layerNN.png 420KB imvectorkiank.png 373KB LlayerNN_kiank.png 279KB image1.png 259KB 2layerNN_kiank.png 255KB mn_backward.png 218KB model_architecture2.png 217KB imvector.png 198KB imvector.png 198KB LogReg_kiank.png 187KB NDgrad_kiank.png 176KB 1Dgrad_kiank.png 173KB backprop.png 170KB kiank_shuffle.png 165KB Momentum.png 163KB model_architecture_kiank.png 159KB image2.png 151KB classification_kiank.png 136KB opt_momentum.png 125KB dictionary_to_vector.png 122KB field_kiank.png 121KB onehot.png 118KB kiank_sgd.png 106KB kiank_minibatch.png 105KB backpass.png 101KB backprop_kiank.png 101KB kiank_partition.png 66KB linearback_kiank.png 56KB relu.png 35KB dnn_app_utils_v2.py 14KB improv_utils.py 11KB reg_utils.py 10KB opt_utils.py 8KB init_utils.py 8KB testCases_v2.py 6KB tf_utils.py 5KB testCases.py 4KB testCases.py 4KB testCases.py 3KB planar_utils.py 2KB共 104 条
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资源评论
Wyjq0032018-05-09是的，只有前两部分的资料，不完整
qq_407670222018-01-17很好的资源
FergusJ2018-04-06没用只有前2节课 为了看CNN测试题 没有
