deep-learning-coursera
Here are stored all materials related to deeplearning.ai specialization
Materials aggregated from different source:
- own code;
- coursera hub;
- github repositories;
- etc.
Please use these materials for informational purposes only. Try to solve the tasks by your own.
Data:
- catvnoncat.h5: https://drive.google.com/open?id=15i9eS8XnOUx2IVYFo6OjJqCm-liOmVug
- data.mat: https://drive.google.com/open?id=196g-e1v8FXC1CgcLBoG4n4dkZ6-xQPK9
- signs.h5: https://drive.google.com/open?id=1C378iRPRnwxD6klGeAw3KRTFOPL4E1sK
- happy.h5: https://drive.google.com/open?id=1cRS7mBX3551vuhiPatJcx2e13oXdoC-l
- ResNet50.h5: https://drive.google.com/open?id=1x50SwYBertaILprG63K3RCwCWofVfymH
- yolo.h5: https://drive.google.com/open?id=15EiWg2vrqTzQbyitAi2oyXLVGj-ymDyZ
- face.h5: https://drive.google.com/open?id=1b_7wLCui7GybqRqVItDRdRsqKC7hPSS-
- weights-face-recognition: https://drive.google.com/open?id=1lRP-rf5r87Lsxn2X0Ewg1VAx80n_WbDZ
- nn4.small2.v7.h5: https://drive.google.com/open?id=1-EfefbDY3M_37oakC8BsQj6cCxxyMTg0
- imagenet-vgg-verydeep-16.mat: https://drive.google.com/open?id=1gwDy1gBs74cQoFHk6Y1cEYpa2LVT2PFJ
- imagenet-vgg-verydeep-19.mat: https://drive.google.com/open?id=1_fT0iMUUSURv2KI5HGZyU-gol1xAE15a
- model_shakespeare_kiank.h5: https://drive.google.com/open?id=1sSXdctYmusJiP60-EmuKQINyG_FYMAeA
- glove.6B.50d.txt: https://drive.google.com/open?id=1Jq_KcIakiE8bn5ggw1954KoLbwBM7tZ5
- machine translation models: https://drive.google.com/open?id=1aUJZprtFjoVy-EP-7dv8ynbCVkd-bGqI
- trigger word model: https://drive.google.com/open?id=1dDR-1KwP6AC3URVnsF4YGu7PRrHjjpCy