Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...

Prior machine learning experience (e.g., an introductory machine learning course ELEC_ENG 375/475 or COMP_SCI 349 or a similar course), a thorough understanding of Linear Algebra and Vector Calculus, ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...