Thank you for your presentation! The goal of your study to optimize neural network models by learning from neuroscience is stirring. I have a question about the actual implementation of advanced neural networks: if the model is complicated (hundreds of layers, hundreds of functions etc., just some random guess from a layman lol), then the efficiency of the model could become a problem since it is an iterative neural network, and I guess Spark might not be sufficient for the large scale of model. How do you cope with it? Thanks!
Thank you for your presentation! The goal of your study to optimize neural network models by learning from neuroscience is stirring. I have a question about the actual implementation of advanced neural networks: if the model is complicated (hundreds of layers, hundreds of functions etc., just some random guess from a layman lol), then the efficiency of the model could become a problem since it is an iterative neural network, and I guess Spark might not be sufficient for the large scale of model. How do you cope with it? Thanks!