Warren, MI, US
Design, develop, and implement deep learning models using architectures such as CNNs, RNNs, and GANs, with a focus on state-of-the-art computer vision, image processing, and signal processing techniques.
Apply machine learning algorithms for feature extraction, classification, detection, and prediction from complex image and signal data.
Utilize advanced image and signal processing methods to enhance model performance, data quality, and system robustness.
