In this section, we expose some common cost functions that are employed in both classification and regression tasks. Some of them will be extensively adopted in our examples in the next chapters, particularly when discussing training processes in shallow and deep neural networks.
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Machine Learning Model Fundamentals
- Introduction to Semi-Supervised Learning
- Graph-Based Semi-Supervised Learning
- Bayesian Networks and Hidden Markov Models
- EM Algorithm and Applications
- Hebbian Learning and Self-Organizing Maps
- Clustering Algorithms
- Ensemble Learning
- Neural Networks for Machine Learning
- Advanced Neural Models
- Autoencoders
- Generative Adversarial Networks
- Deep Belief Networks
- Introduction to Reinforcement Learning
- Advanced Policy Estimation Algorithms
- Other Books You May Enjoy
Examples of cost functions
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