├── .DS_Store ├── .gitignore ├── LICENSE ├── LeNet.py ├── Pre-training.py ├── Preprocessing.py ├── README.md ├── architecture.png ├── dataset ├── event-1-answers └── event-2-answers ├── models └── model.final.h5.zip └── utils └── code_for_calculating_per-recording.zip /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/.DS_Store -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/LICENSE -------------------------------------------------------------------------------- /LeNet.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/LeNet.py -------------------------------------------------------------------------------- /Pre-training.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/Pre-training.py -------------------------------------------------------------------------------- /Preprocessing.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/Preprocessing.py -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/README.md -------------------------------------------------------------------------------- /architecture.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/architecture.png -------------------------------------------------------------------------------- /dataset/event-1-answers: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/dataset/event-1-answers -------------------------------------------------------------------------------- /dataset/event-2-answers: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/dataset/event-2-answers -------------------------------------------------------------------------------- /models/model.final.h5.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/models/model.final.h5.zip -------------------------------------------------------------------------------- /utils/code_for_calculating_per-recording.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network/HEAD/utils/code_for_calculating_per-recording.zip --------------------------------------------------------------------------------