Neural Networks: Tricks of the Trade (2nd ed.) 2012

Introduction

Speeding Learning

Regularization Techniques to Improve Generalization

Improving Network Models and Algorithmic Tricks

Representing and Incorporating Prior Knowledge in Neural Network Training

Tricks for Time Series

Big Learning in Deep Neural Networks

Better Representations: Invariant, Disentangled and Reusable

Identifying Dynamical Systems for Forecasting and Control

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