 youchen
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56ebfc2536
keras usage and other hight level apis
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5 rokov pred |
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youchen
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b73da0e7c4
tensorboard usage. RNN structure
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5 rokov pred |
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youchen
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448ad3851d
implement LeNet5 structure using dataset read from tfrecord. code debug. image sometimes stored as uint8 or float32, which need to be clear in mind when using the dataset. Some image preprocessing functions may require 3 channels image rather than grayscale image, such as modify saturation, hue and contrast.
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5 rokov pred |
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youchen
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acbb23da1d
inceptionv3 nn structure, img_proccess, tfrecord read & write, multiThread, coordinator and queueRunner
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5 rokov pred |
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youchen
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1f26f95c7c
add LeNet5 cnn structure, conv, polling, dropout. cnn must be trained in a better GPU
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5 rokov pred |
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youchen
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20c7ffabb3
squeeze file structure
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6 rokov pred |
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carbo-T
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30ef1bf358
restructured nn for mnist number recognition, together with saved nn weights, diagrams and photos
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6 rokov pred |
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carbo-T
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cb4034113f
add previous python files
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6 rokov pred |
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carbo-T
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b1cbb82d80
mnist dataset training and validation
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6 rokov pred |
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youchen
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9d8052225d
tensorflow basic operations with a NN sample
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6 rokov pred |
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youchen
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4270ed650e
the first step
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6 rokov pred |
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carbo-T
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4f40fbb383
some notes for the TF installation
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6 rokov pred |
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carbo-T
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75baf32fa7
record system information for the TF
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6 rokov pred |
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carbo-T
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591b2bde87
Initial commit
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6 rokov pred |
