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- Title: Neural Network Architectures and Activation Functions: A Gaussian Process Approach
- Author(s) Sebastian Urban
- Publisher: Technical University Munich (2017)
- Paperback: N/A
- eBook: PDF
- Language: English
- ISBN-10: N/A
- ISBN-13: N/A
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Determining the right architecture is a computationally intensive process, requiring many trials with different candidate architectures. We show that the neural activation function, if allowed to individually change for each neuron, can implicitly control many aspects of the network architecture.
About the Authors- N/A
- Neural Networks
- Deep Learning
- Artificial Intelligence, Machine Learning, and Logic Programming
- Algorithms and Data Structures

- Neural Network Architectures and Activation Functions: A Gaussian Process Approach
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