What are the historical models that laid the groundwork for modern neural networks, and how have they evolved over time?
Tuesday, 21 May 2024
by EITCA Academy
The development of modern neural networks has a rich history, rooted in early theoretical models and evolving through several significant milestones. These historical models laid the groundwork for the sophisticated architectures and algorithms we use today in deep learning. Understanding this evolution is important for appreciating the capabilities and limitations of current neural network models.
- Published in Artificial Intelligence, EITC/AI/ADL Advanced Deep Learning, Neural networks, Neural networks foundations, Examination review
Tagged under:
Artificial Intelligence, Backpropagation, CNN, DBN, GAN, Hebbian Learning, LSTM, McCulloch-Pitts, Perceptron, RNN, Transformer