stanford-tensorflow-tutorials
stanford-tensorflow-tutorials copied to clipboard
chiphuyen
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
1. import tf.contrib.layers as layers --> import tensorflow.contrib.layers as layers 2. comment the duplicated "conv1 = layers.conv2d(images, 32, 5, 1, activation_fn=tf.nn.relu, padding='SAME')"
I replaced all the string types with bytes and tested the preprocessing of the dataset.
TensorFlow 1.3 appears to have moved the seq2seq module you are using to: tf.contrib.legacy_seq2seq. Then they have new ones with completely different arguments. With TensorFlow 1.3 you still have the...
Based on the course contents, definition of TensorFlow graph should be separate from running the session. The MNIST example was not quite following the same procedure. In this fix, the...
Can you give Autoencoder/autoencoder.py example code? Thanks!
running python data.py is causing followin error, must be because of opening it in binary mode. Tried it with python 3.5.3 on macOS Sierra ``` Traceback (most recent call last):...
Traceback (most recent call last): File "D:/stanford_tensorflow_tutorials/tf_oreilly/01_linear_regression_sol.py", line 19, in book = xlrd.open_workbook(DATA_FILE, encoding_override="utf-8") File "C:\Anaconda3\lib\site-packages\xlrd\__init__.py", line 441, in open_workbook ragged_rows=ragged_rows, File "C:\Anaconda3\lib\site-packages\xlrd\book.py", line 107, in open_workbook_xls bk.fake_globals_get_sheet() File "C:\Anaconda3\lib\site-packages\xlrd\book.py",...
Make corrections to some "rnn" and "attention" paths I think it's fine with TF1.2 and python3 ! (I referenced the tensorflow 1.2 API documentation to fix it.)
