Neural Networks: Tricks of the Trade
It is our belief that researchers and practitioners acquire, through experience and word-of-mouth, techniques and heuristics that help them successfully apply neural networks to di cult real world problems. Often these \tricks" are theo- tically well motivated. Sometimes they are the result of...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1998.
|
| Έκδοση: | 1st ed. 1998. |
| Σειρά: | Lecture Notes in Computer Science,
1524 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Speeding Learning
- Efficient BackProp
- Regularization Techniques to Improve Generalization
- Early Stopping - But When?
- A Simple Trick for Estimating the Weight Decay Parameter
- Controlling the hyperparameter search in MacKay's Bayesian neural network framework
- Adaptive Regularization in Neural Network Modeling
- Large Ensemble Averaging
- Improving Network Models and Algorithmic Tricks
- Square Unit Augmented Radially Extended Multilayer Perceptrons
- A Dozen Tricks with Multitask Learning
- Solving the Ill-Conditioning in Neural Network Learning
- Centering Neural Network Gradient Factors
- Avoiding roundoff error in backpropagating derivatives
- Representing and Incorporating Prior Knowledge in Neural Network Training
- Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation
- Combining Neural Networks and Context-Driven Search for Online, Printed Handwriting Recognition in the Newton
- Neural Network Classification and Prior Class Probabilities
- Applying Divide and Conquer to Large Scale Pattern Recognition Tasks
- Tricks for Time Series
- Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions
- How to Train Neural Networks.
