# DeepLearning_TensorFlow

**Repository Path**: godycc/DeepLearning_TensorFlow

## Basic Information

- **Project Name**: DeepLearning_TensorFlow
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-12-30
- **Last Updated**: 2025-02-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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`



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Copyright (c) 2015 Masahiro Imai
Released under the MIT license