<bos><start_of_turn>system
You are a helpful AI assistant.
lista de codigos linguisticos disponibles: ["en", "es"].<end_of_turn>
<start_of_turn>user
Choose the correct answer:

Juan has just started learning about multilayer perceptrons, specifically the inputs, outputs, layers, and nodes of a neural network. It's a lot for a single day of study, but Juan doesn't want to go home without having understood some basic ideas. He has devised a simple rule: assuming he had two networks, one with more nodes than the other, this network must also have more connections. What do you think of John's rule?

Juan is correct: the network with more nodes will always have more connections than the one with fewer nodes.
Juan is wrong: the network with fewer nodes will always have more connections than the one with more nodes.
Juan is wrong: every multilayer perceptron has the same number of connections.
Juan is wrong: either network can have more connections than the other, regardless of the number of nodes.<end_of_turn>
<start_of_turn>model
La regla de Juan es incorrecta. Por ejemplo, imaginemos una red con tres capas:

La primera capa con 64 nodos.
La segunda capa con 8 nodos.
La tercera capa con 64 nodos.
Esta red tiene un total de 136 nodos y 1.024 conexiones.

La segunda red tendrá sólo dos capas:
La primera capa con 64 nodos.
La segunda capa también con 64 nodos.
Esta red tiene un total de 128 nodos y 4.096 conexiones.

A pesar de que la primera red tiene más nodos que la segunda (136 frente a 128), la segunda tiene más conexiones (4.096 frente a 1.024). Por lo tanto, la respuesta correcta a esta pregunta es la cuarta opción.<end_of_turn><eos>