SVHNClassifier
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A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
I trained the model using SVHN dataset and get around 80% accuracy on my own dataset. So I determine to finetune it on my dataset. ``` train_layers = ['hidden10', 'digit_length',...
Hi, I found out that using tf.reshape causes errors. For this particular file, there is no need to use tf.reshape. Simply use tf.image.resize_images(image, [54, 54])
Hi, I wonder what if for certain digits, I have more diverse samples in the dataset, for the rest, I have less diverse samples. In the current implementation and also...
What were the hardware requirements for training the model? How long did it take? Do you think this model would be trainable in a PC with 8gb of RAM ?
hi @potterhsu i have a very odd problem i have trained my model and got an very good accuracy. but when i try to inference my images if i use...
I wanna recognize images including short characters as well as digits, like "A25", "B03" and so on. I wonder could this structure work on this situation?
I was try to train this project on windows the original version is on linux and using python2 I change some code and running this project on windows and using...