提交歷史

作者 SHA1 備註 提交日期
  youchen 56ebfc2536 keras usage and other hight level apis 5 年之前
  youchen b73da0e7c4 tensorboard usage. RNN structure 5 年之前
  youchen 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
  youchen acbb23da1d inceptionv3 nn structure, img_proccess, tfrecord read & write, multiThread, coordinator and queueRunner 5 年之前
  youchen 1f26f95c7c add LeNet5 cnn structure, conv, polling, dropout. cnn must be trained in a better GPU 5 年之前
  youchen 20c7ffabb3 squeeze file structure 6 年之前
  carbo-T 30ef1bf358 restructured nn for mnist number recognition, together with saved nn weights, diagrams and photos 6 年之前
  carbo-T cb4034113f add previous python files 6 年之前
  carbo-T b1cbb82d80 mnist dataset training and validation 6 年之前
  youchen 9d8052225d tensorflow basic operations with a NN sample 6 年之前
  youchen 4270ed650e the first step 6 年之前
  carbo-T 4f40fbb383 some notes for the TF installation 6 年之前
  carbo-T 75baf32fa7 record system information for the TF 6 年之前
  carbo-T 591b2bde87 Initial commit 6 年之前