dipanjan06
dipanjan06
@sairin1202 , Thanks for sharing the 500k model. @CharlesShang , I have build an inference code for testing the model with random images. But I stuck in following 2 places...
@amirbar Thanks for your advice . it is a very a good observation. Thanks once more. Now I am training the network using Quadro K5200 which has got 8GB GPU...
@lfdeep , I am also trying to test on my image. It would be helpful if you share your inference code at [email protected]
Use following self.lstm = tf.nn.rnn_cell.BasicLSTMCell(dim_hidden) This will give warning but code will run
Ok thank you for your quick response. So my understanding is that , latent variable "r" does update during back propagation , then at E step whatever value being updated...