文件列表:

1_LinearRegression_160516.ipynb (6979, 2016-07-12)
2_LogisticRegression_MNIST_160516.ipynb (8321, 2016-07-12)
3a_MLP_MNIST_160516.ipynb (8702, 2016-07-12)
3b_MLP_MNIST_Modern_160517.ipynb (9979, 2016-07-12)
3c_MLP_MNIST_topNresults_160712.ipynb (17757, 2016-07-12)
4a_CNN_MNIST_160712.ipynb (13998, 2016-07-12)

# TensorFlow_Exercises The codes I made while I practiced various TensorFlow examples ### About the codes I didn't create these codes by myself, but re-create the codes while I was practicing other TensorFlow examples. Here is the list of example codes I refered to. - Sungjun Choi, [Tensorflow-101](https://github.com/sjchoi86/Tensorflow-101) - Aymeric Damien, [Tensorflow-Examples](https://github.com/aymericdamien/TensorFlow-Examples/) - Nathan Lints, [Tensorflow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) - Parag K. Mital, [Tensorflow-Tutorials](https://github.com/pkmital/tensorflow_tutorials) ### List of the exercise codes 1. [Linear Regression](https://github.com/terryum/TensorFlow_Exercises/blob/master/1_LinearRegression_160516.ipynb) 2. [Logistic Regression](https://github.com/terryum/TensorFlow_Exercises/blob/master/2_LogisticRegression_MNIST_160516.ipynb) 3. [Multilayer Perceptron](https://github.com/terryum/TensorFlow_Exercises/blob/master/3a_MLP_MNIST_160516.ipynb) 4. [Modern Multilayer Perceptron](https://github.com/terryum/TensorFlow_Exercises/blob/master/3b_MLP_MNIST_Modern_160517.ipynb) 5. [Multilayer Perceptron: Top-N results](https://github.com/terryum/TensorFlow_Exercises/blob/master/3c_MLP_MNIST_topNresults_160712.ipynb) 6. [Convolutional Neural Network](https://github.com/terryum/TensorFlow_Exercises/blob/master/4a_CNN_MNIST_160712.ipynb) (More exercises will be updating...) ### Slides You can follow the above examples with the [slides](http://terryum.io/ml_practice/2016/05/28/TFIntroSlides/). Feel free to make changes for your own project. And please let me know if you have a suggestion to improve the codes. Thank you!

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