6.7 The action of well-trained nets 6.8 Taking stock 6.9 Generalization and overtraining 6.10 Fostering generalization 6.11 Applications 6.12 Final remarks 6.13 Summary 6.14 Notes 7 Associative memories:the Hopfield net 7.1 The nature of associative memory 7.2 Neural networks and associative memory 7.3 a physical analogy with memory 7.4 The Hopfield net 7.5 Finding the weights 7.6 Storage capacity 7.7 The analogue Hopfield model 7.8 Combinatorial optimization 7.9 Feedforward and recurrent associative nets 7.10 Summary 7.11 Notes 8 Self-organization 66.7 The action of well-trained nets 6.8 Taking stock 6.9 Generalization and overtraining 6.10 Fostering generalization 6.11 Applications 6.12 Final remarks 6.13 Summary 6.14 Notes 7 Associative memories: the Hopfield net 7.1 The nature of associative memory 7.2 Neural networks and associative memory 7.3 A physical analogy with memory 7.4 The Hopfield net 7.5 Finding the weights 7.6 Storage capacity 7.7 The analogue Hopfield model 7.8 Combinatorial optimization 7.9 Feedforward and recurrent associative nets 7.10 Summary 7.11 Notes 8 Self-organization 6