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: Explores complex architectures such as region-based CNNs, the YOLO algorithm for object detection, and combining CNNs with Recurrent Neural Networks (RNNs) for image captioning.
The curriculum is divided into three primary sections, totaling approximately of coursework:
Students complete three major reviewed projects to build a professional portfolio:
: Focuses on image processing, feature extraction, and building Convolutional Neural Networks (CNNs) using PyTorch .
: Explores complex architectures such as region-based CNNs, the YOLO algorithm for object detection, and combining CNNs with Recurrent Neural Networks (RNNs) for image captioning.
The curriculum is divided into three primary sections, totaling approximately of coursework:
Students complete three major reviewed projects to build a professional portfolio:
: Focuses on image processing, feature extraction, and building Convolutional Neural Networks (CNNs) using PyTorch .
