Deep Learning

Deep Learning for Self-Driving Cars : Lecture 5

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep Learning for Self-Driving Cars : Lecture 4

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep learning applications and challenges in big data analytics

Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for business analysis and decisions, impacting existing

Introduction to Deep Learning and Self-Driving Cars from MIT

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Artificial Intelligence is Eating Our World

Fabian Westerheide’s TEDx Talk dived into the challenges and opportunities of a world in which intelligent machines and humans coexist together. Artificial intelligence is and will be integrated more into vital parts of human life. Not only human jobs will be replaced by machines. Artificial intelligence will also challenge human thinking, art and culture. What comes after is the concept of Superintelligence and Singularity. “I got my first computer in

Deep Learning Lectures at the University of Oxford by Nando de Freitas

Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. Slides are available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Deep Learning Lecture 1: Introduction Deep Learning Lecture 2: linear models Deep Learning Lecture 3: Maximum likelihood and information Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1) Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2) Deep

Introduction to Deep Learning with Python

Deep Learning with Python’s Theano Library for Tufts University Data Science Club – 27 October 2014 Alec Radford Alec Radford, Head of Research at indico Data Solutions, speaking on deep learning with Python and the Theano library. The emphasis of the talk is on high performance computing, natural language processing using recurrent neural nets, and large scale learning with GPUs. Deep learning is the most interesting and powerful machine learning

Deep Learning and Understandability versus Software Engineering and Verification

Silicon Valley Deep Learning Group is honored to host Peter Norvig. Peter talks about Deep Learning and Understandability versus Software Engineering and Verification. Who is Peter Norvig? Peter Norvig is an American computer scientist, teacher, and author. He has written books such as Intelligent Help Systems for UNIX, Verbmobil: A Translation System for Face-to-Face Dialog, and Paradigms of AI Programming: Case Studies in Common Lisp. He has also co-authored the