classification of emotions using EEG signals with deep learning methods -- 2
Budjetti $250-750 USD
1. Dataset: DEAP dataset
2. Convert 1D EEG to 2D images
Algorithm: using short time fourier transform (STFT) (output: spectrogram)
2. Classification using deep learning
a. Inception Resnet-V2 (link: [login to view URL])
b. DenseNet121 modified (link: [login to view URL])
Notes: looking for someone who has worked on EEG or signal processing projects
Myönnetty käyttäjälle:
Hi. My background is in Signal Processing and Machine Learning. Will be able to develop deep nets as per the links you have shared. Will be using Python. Let me know if interested.
33 freelanceria on tarjonnut keskimäärin $582 tähän työhön
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I graduated from the Faculty of Engineering. I followed electrical and telecommunications engineering. I have worked with jobs like this before. If you can give me a project, I can help to the best of my ability.
Hello, hope you are doing well. As an experienced python developer with 20 years of experience in Machine Learning and Signal Processing. Recently, I developed a program which analyze and classify EEG signal. And I've Lisää
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Hi!I am a Python expert with over 5 years experience dealing with Software, I can help working with your projects. I've previously worked on the exact same project for another employer. Basick Knowledge: Pandas, Numpy, Lisää
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classification of emotions using EEG signals with deep learning methods -- 2 I am an academic expert who can help you with your solutions like; Case Studies, Summaries, Reports, Thesis & Dissertations, and Online Exam Lisää