Designing a 1D CNN (Deep learning)
€25-50 EUR
Оплачується при отриманні
The project consists on designing a 1D convolutional network that has two convolutional layers (conv+relu+maxpool | cov+relu+maxpool) and a fully connected layer. Then train the EEG signals . Here are some specifications and details:
- Channels = 15
- Classes = 3
- 1D convolutional
- Use spyder(python 3.6) tensorflow
- Comments should be included
ID Проекту: #16039713
Про проект
Доручено:
I am working as a professional data scientist, you can check my github to get a taste of my skills in the link below: [login to view URL]
9 фрілансерів(-и) готові виконати цю роботу у середньому за €41
Hello sir I have rich experience of ML and I am very familiar with CNN. I like tensorflow and pytorch. I am confident with this job and can deliver the result in a day. Best, Zhang
We have wide experience in Machine Learning and Deep Learning (CNNs and Recurrent Nets). Have used CNNs (including classic nets like VGG16, 19, Inception etc) in Computer Vision / Face Recognition problems. Understandi Більше
I have a good hand on working with Advanced Excel, R and Python. I have quite a good knowledge of deep learning Algorithm and ML algos, have also developed dashboards and Web Application and BI tools. I understand t Більше
I can build this simple CNN for EEG classification. You would probably supply dataset for training (and evaluating) and I would build Python code. There should be done some optimisation of hyper-parameters and that Більше
