User 5222 | 5/24/2016, 9:53:30 AM
Hi all, I'm a new member here, though I have been using Graphlab for more than half a year. Now, I'm doing research on deep learning and has found Dato a very muck like Matlab for prototyping net architecture, Right now, working on classifying traffic signs from the German benchmark, I've achieved the results of 90%. The model is chosen automatically by graphlab, and it looks like a very simple form of Lenet '98 to me. I'm trying to reproduce the results of 99% attained by Ciresan etal '11, the winner of the Traffic sign recognition challenge. I've made use of the layers in graphlab libraries and re-design the architecture exactly like what they did. But somehow, the accuracy is very poor, hardly pass the bar of 10% after hours of training I guessed the reason was a lack of ReLU layer after Conv layers, so I did add them. But the classification rate only improved slightly. I did the search and found someone here with the same problem but it hadn't been solved either So please give me your comments and hopefully someone will see through the cloud!