Learning deep architectures for AI
Bengio, Yoshua
Learning deep architectures for AI by Yoshua Bengio. - Hanover, Mass. : Now Publishers, 2009 - 131 P. : il. - Foundations and trends in machine learning, .
Incluye bibliografia (p. : 113.127)
1. Introduction -- 2. Theoretical advantages of deep architectures -- 3. Local vs non-local generalization -- 4. Neural networks for deep architectures -- 5. Energy-based models and Boltzmann machines -- 6. Greedy layer-wise training of deep architectures -- 7. Variants of RBMs and auto-encoders -- 8. Stochastic variational bounds for joint optimization of DBN layers -- 9. Looking forward -- 10. Conclusion
9781601982940
INTELIGENCIA ARTIFICIAL
ALGORITMOS COMPUTACIONALES
TEORIA DEL APRENDIZAJE COMPUTACIONAL
006.31 / B466
Learning deep architectures for AI by Yoshua Bengio. - Hanover, Mass. : Now Publishers, 2009 - 131 P. : il. - Foundations and trends in machine learning, .
Incluye bibliografia (p. : 113.127)
1. Introduction -- 2. Theoretical advantages of deep architectures -- 3. Local vs non-local generalization -- 4. Neural networks for deep architectures -- 5. Energy-based models and Boltzmann machines -- 6. Greedy layer-wise training of deep architectures -- 7. Variants of RBMs and auto-encoders -- 8. Stochastic variational bounds for joint optimization of DBN layers -- 9. Looking forward -- 10. Conclusion
9781601982940
INTELIGENCIA ARTIFICIAL
ALGORITMOS COMPUTACIONALES
TEORIA DEL APRENDIZAJE COMPUTACIONAL
006.31 / B466