Deep_Learning_Specialization

This is a repo to store the programming notebooks and my notes of the 5-course deep learning specialization on Coursera.

File Structure

• notes: my personal notes and summaries of the coursera
• resources: some external files that might be help in understanding certain points in the course.
• certificates: my personal course certificates from Coursera.

Notice

Some large files are not in the repo:

1. model weights ResNet50.h5 in Convolutional Neural Networks/Week 2/ResNets/
2. model weights yolo.h5 in Convolutional Neural Networks/Week 3/
3. video file pred_video.mp4 and road_video.mp4 in Convolutional Neural Networks/Week 3/nb_images/
4. model weights imagenet-vgg-verydeep-19.mat in Convolutional Neural Networks/Week 4/Neural Style Transfer/pretrained-model/
5. word embedding glove.6B.50d.txt in Sequence Model/Week 2/Emojify/data and Sequence Model/Week 2/Word Vector Representation/data
6. training dataset X.npy in Sequence Model/Week 3/Trigger Word Detection/XY_train and dev dataset X_dev.npy in Sequence Model/Week 3/Trigger Word Detection/XY_dev.

Please follow the Coursera honor code and use this repo properly.

Next

• notes on course 3, 4, 5