Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

Feedforward networks with convergent or divergent connections between subsequent groups of neurons have been the model system of choice in the study of spiking-activity propagation.

The neural net “employs a feedforward neural network with a precisely calibrated 4-60-12 architecture and sigmoid activation functions.” This leads to an approximate 85% accuracy being able to ...

The neural net “employs a feedforward neural network with a precisely calibrated 4-60-12 architecture and sigmoid activation functions.” ...

Climate studies and effective environmental management require unbiased climate datasets. This study develops a new bias correction approach using a three-layer feedforward neural network to reduce ...