A custom PyTorch Multi-Layer Perceptron (MLP) built to classify 200 bird species. This project analyzes the performance and limitations of fully connected networks on high-dimensional spatial data for ...
Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, including health care. The vision for AI is that a computer model can process information and provide ...
The second quantum revolution emerges from the possibility of designing and controlling quantum systems. The complexity of controlling quantum systems can be reduced by decreasing the noise due to ...
aFaculty of Applied Science and Engineering, University of Toronto, Toronto, ON, Canada bFaculty of Medicine, University of Toronto, Toronto, ON, Canada cDepartment of Computer Science, University of ...
Convolutional neural networks (CNNs) have become a standard for analysis of biological sequences. Tuning of network architectures is essential for a CNN’s performance, yet it requires substantial ...
Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are ...
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction.
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