Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

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

MotorNet is a Python toolbox for training artificial neural networks to control arbitrarily complex, differentiable, and biomechanically realistic musculo-skeletal effectors on user-defined ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...