LIRC@SFIT

An introductory lecture overviewing the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos visit our website or follow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-dee... Slides: http://bit.ly/deep-learning-basics-sl... Playlist: http://bit.ly/deep-learning-playlist OUTLINE: 0:00 - Introduction 0:53 - Deep learning in one slide 4:55 - History of ideas and tools 9:43 - Simple example in TensorFlow 11:36 - TensorFlow in one slide 13:32 - Deep learning is representation learning 16:02 - Why deep learning (and why not) 22:00 - Challenges for supervised learning 38:27 - Key low-level concepts 46:15 - Higher-level methods 1:06:00 - Toward artificial general intelligence Source: https://www.youtube.com/watch?v=O5xeyoRL95U (Accessed on January 22, 201...

Deep learning capabilities are driving powerful new opportunities for AI.  Deep learning using neural networks and Graphics Processing Units (GPUs) is starting to surpass machine learning for image recognition and other applications. Deep neural networks are helping to advance self-driving cars, faster development of new drugs, and real-time multiple-language translation for online chats.  Find out more about:  Machine learning versus deep learning The power of inference GPUs delivering near real-time performance To read the full-text, visit the following URL: https://www.tcs.com/content/dam/tcs/pdf/technologies/artificial-intelligence/abstract/Deep-learning-with-neural-networks-and-GPUs-0917-1.pdf Source:  https://www.tcs.com/accelerating-the-power-of-deep-learning  (Accessed on January 22, 2019)