Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...

“In the early days of neural networks, sigmoid and tanh were the common activation functions with two important characteristics — they are smooth, differentiable functions with a range between [0,1] ...

Similar to the sigmoid activation function, it suffers from the issue of vanishing gradients. And the tanh function’s gradient is much steeper than the Sigmoid’s.

We demonstrate a programmable analog opto-electronic (OE) circuit that can be configured to provide a range of nonlinear activation functions for incoherent neuromorphic photonic circuits at up to 10 ...