Deep Learning

If Dropout Limits Trainable Depth, Does Critical Initialisation Still Matter? A Large-scale Statistical Analysis on ReLU Networks
Recent work in signal propagation theory has shown that dropout limits the depth to which information can propagate through a neural …
Arnu Pretorius, Elan Van Biljon, Benjamin Van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon
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Inter-and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
Pre-training a deep neural network on the ImageNet dataset is a common practice for training deep learning models, and generally yields …
Nishai Kooverjee, Steven James, Terence Van Zyl
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Quantisation and Pruning for Neural Network Compression and Regularisation
Deep neural networks are typically too computationally expensive to run in real-time on consumer-grade hardware and low-powered …
Kimessha Paupamah, Steven James, Richard Klein
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Example Project
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Example Project