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

The course covers a number of chapters from introducing Transformers to classic NLP tasks, speech processing, and computer vision. The instructors are experts in the field, with exceptional ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Natural language processing silently underpins many aspects of our digital lives, from email spam filters and detecting plagiarism to checking grammar and correcting spelling. But learning how the ...

In the first half of this course, we will explore the evolution of deep neural network language models, starting with n-gram models and proceeding through feed-forward neural networks, recurrent ...

Generative Pre-trained Transformers (GPTs) have transformed natural language processing (NLP), allowing machines to generate text that closely resembles human writing. These advanced models use deep ...