5 Questions
An activation ______ is saturating if $lim_{|v|\to \infty}|\nabla f(v)| = 0$.
function
Non-saturating activation functions, such as ReLU, may be better than ______ activation functions.
saturating
The activation function of a node defines the output of that node given an input or set of inputs. A standard integrated circuit can be seen as a digital network of ______ functions.
activation
The most common activation functions can be divided into three categories: ______ functions, radial functions and fold functions.
ridge
Only ______ activation functions allow such networks to compute nontrivial problems using only a small number of nodes.
nonlinear
Study Notes
Activation Functions
- An activation function is said to be saturating if the limit of the magnitude of its gradient approaches 0 as the input magnitude approaches infinity.
- Non-saturating activation functions, such as ReLU, may be more effective than saturating activation functions.
- The activation function of a node determines the output of that node based on its input or set of inputs.
Digital Networks
- A standard integrated circuit can be viewed as a digital network of activation functions.
Categorization of Activation Functions
- The most common activation functions can be categorized into three types: sigmoid functions, radial functions, and fold functions.
- Only sigmoid activation functions enable networks to compute non-trivial problems using a relatively small number of nodes.
Test your knowledge of activation functions in artificial neural networks and their importance in achieving nonlinearity. Explore how different activation functions impact the output of nodes in a network and enable complex computations.
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