In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Let me give you an example: Este articulo no es un articulo de investigacion, ya que solo muestra como programar un robot mediante la herramienta de logica difusa. Este tema ya ha sido propuesto como solucion en navegacion de robots.
The answer to this example can be: es
Here is why: This review is written in spanish. Hence, the label is 'es'.

OK. solve this:
Strengths -- An interesting proposal for a smaller CNN architecture designed for embedded CNN applications. -- Balanced exploration of CNN macroarchitecture and microarchitecture with fire modules. -- x50 less memory usage than AlexNet, keeping similar accuracy -- strong experimental results Weaknesses --Would be nice to test Sqeezenet on multiple tasks --lack of insights and rigorous analysis into what factors are responsible for the success of SqueezeNet. For example, how are ResNet and GoogleNet connected to the current architecture? Another old paper (Analysis of correlation structure for a neural predictive model with application to speech recognition, Neural Networks, 1994) also showed that the "by-pass" architecture by mixing linear and nonlinear prediction terms improves long term dependency in NN based on rigorous perturbation analysis. Can the current work be placed more rigorously on theoretical analysis?
Answer:
en