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youchen 56ebfc2536 keras usage and other hight level apis		5 年之前
.idea	1f26f95c7c add LeNet5 cnn structure, conv, polling, dropout. cnn must be trained in a better GPU	5 年之前
Encapsulation	56ebfc2536 keras usage and other hight level apis	5 年之前
LeNet5	56ebfc2536 keras usage and other hight level apis	5 年之前
MNIST_data	20c7ffabb3 squeeze file structure	6 年之前
RNN	b73da0e7c4 tensorboard usage. RNN structure	5 年之前
TF_Init	4f40fbb383 some notes for the TF installation	6 年之前
img_proc	b73da0e7c4 tensorboard usage. RNN structure	5 年之前
inceptionv3	acbb23da1d inceptionv3 nn structure, img_proccess, tfrecord read & write, multiThread, coordinator and queueRunner	5 年之前
mnist_number_recognition	1f26f95c7c add LeNet5 cnn structure, conv, polling, dropout. cnn must be trained in a better GPU	5 年之前
mnist_restructured	1f26f95c7c add LeNet5 cnn structure, conv, polling, dropout. cnn must be trained in a better GPU	5 年之前
tests	30ef1bf358 restructured nn for mnist number recognition, together with saved nn weights, diagrams and photos	6 年之前
.gitignore	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.	5 年之前
LICENSE	591b2bde87 Initial commit	6 年之前
README.md	591b2bde87 Initial commit	6 年之前
__init__.py	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.	5 年之前

TF

repo for TF learning