Open lisztfrancis opened 7 years ago
@lisztfrancis I was thinking the same thing, at the end I preferred Caffe. The performances on the api using Tornando Web Server + Docker is super with this ResNet-50 pre-trained model. Which advantage did you find converting to TF?
I've converted this model to tensorflow framework, and lauch the graph with .npy data file, the data file upload without any problem since I printed all value in tf.all_variables() for debug . But I found it cann't backprop properly,the trainable variables became nan at the first bp process. I'm not very skillful at CNN tricks since my physics background. Do I need adjust some special layers of this net? and what's the proper method of optimization? Thanks for any insightful and helpful analysis and advice!