Neural Networks 0.0.1 [free]

Neural networks (also referred to as connectionist systems) are a computational approach, which is based on a large collection of neural units (AKA artificial neurons), loosely modeling the way a biological brain solves problems with large clusters of biological neurons connected by axons. History Hebbian learning Backpropagation and resurgence Improvements since 2006 Models Network function Learning Choosing a cost function Learning paradigms Supervised learning Unsupervised learning Reinforcement learning Learning algorithms Applications Real-life applications Neural networks and neuroscience Types of models Networks with memory Types of artificial neural networks Theoretical properties Computational power Capacity Convergence Generalization and statistics Criticism

• 09/27/2022: Neural Networks 0.0.1
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