How can I preprocess mnist data to adapt to your CRNN?

mengqiShen commented 6 years ago

I want to know, do you manually divide mnist data to maxToAdd length or what? the dimensions of mnist is (60000,28,28,1), which 28*28 represent the size of it and 1 represents the channel, the first layer of the model needs 5 dimension like (maxToAdd, 60000,28,28,1), and when i tried to divide data like this, it showed another mistake: ValueError: Error when checking target: expected dense_19 to have 2 dimensions, but got array with shape (60000, maxToAdd, pool_size,pool_size, 1). so can you tell me how do you deal with the input in model.fit?

jamesmf commented 6 years ago

The 5 dimensions required are (num_examples, maxToAdd, 28, 28, 1).

Feel free to share some code so we can see what's different.

mengqiShen commented 6 years ago

I already understood this question by reading your code，thank you !发自我的华为手机-------- 原始邮件 --------主题：Re: [jamesmf/mnistCRNN] How can I preprocess mnist data to adapt to your CRNN? (#9)发件人：jamesmf 收件人：jamesmf/mnistCRNN 抄送：mengqiShen ,Author The 5 dimensions required are (num_examples, maxToAdd, 28, 28, 1). Feel free to share some code so we can see what's different.

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jamesmf / mnistCRNN

How can I preprocess mnist data to adapt to your CRNN? #9