Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Cybersecurity researchers have discovered several security flaws in the cloud management platform developed by Ruijie Networks that could permit an attacker to take control of the network appliances. ...

First, we need to extract the spatial and temporal features of well logging data using convolutional neural network (CNN) and gated recurrent unit (GRU), respectively. However, the spatial and ...

A pair of Kansas lawmakers intends to introduce federal legislation that would strip control of Haskell Indian Nations University from the Bureau of Indian Education and let the university govern ...

The network integrates a hybrid model that combines Convolutional Neural Networks (CNN) for feature extraction with Gated Recurrent Units (GRU) to handle temporal dependencies. Furthermore, to improve ...

Perceptron is a foundational artificial neural network concept, effectively solving binary classification problems by mapping input features to an output decision. By merging concepts from neural ...

Networks programmed directly into computer chip hardware can identify images faster, and use much less energy, than the traditional neural networks that underpin most modern AI systems.

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

A phase I clinical trial led by researchers at University of California San Diego School of Medicine has demonstrated the long-term safety and feasibility of neural stem cell transplantation for ...

The Regents of the University of California agreed to pay $10 million to settle a wrongful-death lawsuit brought by the family of a UC Davis student who died in a traffic collision on campus. Reuben ...