Commit History

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