Tema 21.
[Titulo]
Lecturas
Baheti, P. (2021).
Activation functions in feural networks [12 types & use cases]
. Recuperado de
https://www.v7labs.com/blog/neural-networks-activation-functions
PyTorch. (s.f.).
Neural Networks.
Recuperado de
https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html
Scikit learn. (s.f.).
1.17. Neural network models (supervised).
Recuperado de
https://scikit-learn.org/stable/modules/neural_networks_supervised.html
Scikit learn. (s.f.).
1.17.9 More control with warm_start.
Recuperado de
https://scikit-learn.org/stable/modules/neural_networks_supervised.html
TensorFlow. (s.f.).
Aprendizaje estructurado neuronal: entrenamiento con seƱales estructuradas.
Recuperado de
https://www.tensorflow.org/neural_structured_learning
Videos
Alexander Amini. (2022, 11 de marzo).
MIT Introduction to Deep Learning | 6.S191
[Archivo de video]. Recuperado de
https://www.youtube.com/watch?v=7sB052Pz0sQ