# DeepLearning_TensorFlow a python implementation of deeplearning using TensorFlow ## TensorFlow ## http://tensorflow.org/ ## Features - Loading Data - Createing mini-batch - LogisticRegression - MLP using tensorflow structure and tensorboard - CNN_minit for new algorithm experiments with MNIST - CNN_cminit for new algorithm experiments with Cluttered MNIST - CNN_tiny(AlexNet 2010) - CaffeNet(AlexNet 2012) - CNN_depth - BatchNormalization - SpatialTransfomerNetwork - SpatialTransfomerNetwork with AlexNet 2012 (pretrain and fine-tuning structure) - DCGAN https://github.com/MasazI/dcgan - InceptionV3 https://github.com/MasazI/InceptionV3_TensorFlow - tiny distributed tensorflow https://github.com/MasazI/tiny_distributed_tf if you use pyenv and anaconda: add /path/to/.pyenv/versions/anaconda-2.0.1/bin/ into PATH ## visualization `tensorboard --logdir /to/your/path/train --port=6006` --- Copyright (c) 2015 Masahiro Imai Released under the MIT license