These are the lecture notes for FAU’s YouTube Lecture “Deep Learning”. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If you spot mistakes, please let us know!
Part 1
Part 2
Daily Archives: July 17, 2020
Fabricius
Explore Fabricius, a Google Arts & Culture Lab Experiment that uses machine learning to help translate ancient Egyptian hieroglyphs. Read More
YOLO Object Detection
YOU ONLY LOOK ONCE tutorial where you can learn about the YOLO Object Detection system, and how to implement such a system with Keras. Read More
MIT researchers warn that deep learning is approaching computational limits
We’re approaching the computational limits of deep learning. That’s according to researchers at the Massachusetts Institute of Technology, MIT-IBM Watson AI Lab, Underwood International College, and the University of Brasilia, who found in a recent study that progress in deep learning has been “strongly reliant” on increases in compute. It’s their assertion that continued progress will require “dramatically” more computationally efficient deep learning methods, either through changes to existing techniques or via new as-yet-undiscovered methods. Read More
Building an Intelligent QA System With NLP and Milvus
The question answering system is commonly used in the field of natural language processing. It is used to answer questions in the form of natural language and has a wide range of applications. Typical applications include intelligent voice interaction, online customer service, knowledge acquisition, personalized emotional chatting, and more.
Most question answering systems can be classified as generative and retrieval question answering systems, single-round question answering and multi-round question answering systems, open question answering systems, and specific question-answering systems. Read More
Rick's Cafe AI 