Neural Networks
sort by: Relevancy | Title | Rating try advanced search for more options
-
This course covers topics on the engineering of computer software and hardware systems: techniques for controlling complexity; strong modularity using client-server design, virtual memory, and threads; networks; atomicity and coordination of parallel activities; recovery and reliability; privacy, security, and encryption; and impact of computer systems on society. It also looks at case studies of working systems and readings from the...more
-
This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
-
Note: This course is offered by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric...more
-
-
This course is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first-...more
-
Dominic Orr, CEO of Aruba Networks, responds to a question about whether startups have a chance of cracking markets owned by big competitors. Orr suggests that startups often can find niches in big markets because they have greater speed to execution. However, Orr argues that success in a big market may be more than simply creating a niche but rather success is creating a large, sustainable business. Orr argues that the challenge of...more
-
In this lecture, Professor Diamond continues her discussion of the nervous system and begins by reviewing the telencephalon before transitioning into a discussion of the six layers of the neocortex. She discusses the hippocampal-dentate complex, the archicortex, and the temporal lobe, which contains the hippocampus and pyramidal cells along with the fimbrea, fornix, and mammilary bodies. To enhance students' understanding of the neural...more
-
The exchanges in which stocks and other securities are traded serve an important function in finance. They bring together people interested in buying and selling securities in order to create a universal price. Brokers and dealers are also an important part of the system, their methods and standards are ultimately behind the success of the exchanges. Many information innovations have advanced the functioning of exchanges, going all the...more
-
Dominic Orr, CEO of Aruba Networks, describes how a startup can compete with large, established companies. Orr argues that to compete with large companies an entrepreneurial firm must think about the ecosystem created by the larger companies and then identify the problems in that system that the larger companies are unable to address. Once an opportunity has been identified, a startup's single advantage is speed: because established firms...more
-
Dominic Orr, CEO of Aruba Networks, speaks about lessons learned from applying the HP way to startups. Orr suggests that he has achieved great results from giving employees respect and dignity. At the same time, Orr acknowledges mistakes he has made in applying the HP way to startups. In particular, in a large organization, such as HP, there time for long feedback cycles because any mistakes from giving people too much benefit of the...more
-
Dominic Orr, CEO of Aruba Networks, compares Silicon Valley to other places in the world and argues there are many more similarities than differences. Indeed, Orr emphasizes only one difference between Silicon Valley and the rest of the world: a focus on speed. By contrast, Orr argues that there are many similarities, namely how hard people work. He suggests that people work so hard for three reasons: 1) People want to have an impact, 2)...more
-
April 4, 2008 lecture by Beth Noveck for the Stanford University Human Computer Interaction Seminar (CS547). In this lecture, Beth Noveck discusses why current political institutions have changed little in response to Web 2.0. She explores the role of visual and social interfaces in producing better democracy and talk about the progress of the Peer-to-Patent project. Overall, the talk focuses on how both law and technology might be...more
