idx

问题 I used this code almost exactly, just changing the line: f = gzip.open("../data/mnist.pkl.gz", 'rb') training_data, validation_data, test_data = cPickle.load(f) to these lines: import pickle as cPickle f = gzip.open("mnist.pkl.gz", 'rb') u = cPickle._Unpickler(f) u.encoding='latin1' training_data, validation_data, test_data = u.load() to account for pickling issues.The original mnist.pkl.gz was downloaded from his repo (available here), or the code to generate the .pkl.gz is here. The output

问题 I'm working with the MNIST data set. I pulled down the original binary files (i.e. -ubyte; 784 columns X 60,000 rows for training data set), and converted them to CSV so I could do some processing on them. Now I want to convert the CSV files back to ubyte, to upload them to a pipeline I'm testing. I found this code, but I would have thought converting .csv to ubyte would be a common process, particularly as the MNIST data set is so famous, and I'm wondering am I missing something and if there

问题 I'm working with the MNIST data set. I pulled down the original binary files (i.e. -ubyte; 784 columns X 60,000 rows for training data set), and converted them to CSV so I could do some processing on them. Now I want to convert the CSV files back to ubyte, to upload them to a pipeline I'm testing. I found this code, but I would have thought converting .csv to ubyte would be a common process, particularly as the MNIST data set is so famous, and I'm wondering am I missing something and if there

问题 I'm working with the MNIST data set. I pulled down the original binary files (i.e. -ubyte; 784 columns X 60,000 rows for training data set), and converted them to CSV so I could do some processing on them. Now I want to convert the CSV files back to ubyte, to upload them to a pipeline I'm testing. I found this code, but I would have thought converting .csv to ubyte would be a common process, particularly as the MNIST data set is so famous, and I'm wondering am I missing something and if there