EEE 443 Neural Networks
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Biological neural networks. Artificial neural networks. Basic neuron. Modeling the single neuron. Feed-forward architectures. Recurrent neural networks. Restricted boltzmann machines. Learning algorithms. Back propagation. Contrastive divergence. Optimization and generalization for neural networks. Autoencoders. Deep belief networks. Convolutional neural networks. Long short-term memory networks. Self-attention and transformers. Adversarial networks.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
EEE 321 or EEE 391.
Autumn Semester (Tolga Çukur)
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