A weekly seminar on Network Science, with broad topics rotating amongst these different areas: socials sciences, algorithms, biological networks, dynamics and control, Cyberinfranstructure. The focus of the seminars in Spring will be on Innovation and taking research beyond academia.
Cryptography provides techniques, mechanisms, and tools for private and authenticated communication, and for performing secure and authenticated transactions over the Internet as well as other open networks. It is highly probable that every single bit of information flowing through our networks will have to be either encrypted and decrypted or signed and authenticated in a few years from now.
This is a graduate-level course on neural network and deep learning. We will discuss neural network, deep learning, CNN, RNN, LSTM and their newest advances.