Scientists use tools called gradients to understand how molecules interact in biological systems. Researchers have developed a new technique for creating biomolecular gradients that is both simpler ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

Drosophila wing development is a paradigm for understanding how spatial information is conveyed by morphogen gradients to coordinate pattern formation and organ growth. Central to this process is ...

Resilient back propagation (Rprop), an algorithm that can be used to train a neural network, is similar to the more common (regular) back-propagation. But it has two main advantages over back ...