Comments (3)
Thanks for the update
from tensorflow-tutorials.
Several of the tutorials have now been updated to work with TensorFlow 2. Some of the tutorials have to run in "v. 1 compatibility mode". Other tutorials simply cannot run in TF2 and would take too much effort to convert, so you will have to run them with an older TF1 version.
from tensorflow-tutorials.
Several of the tutorials have now been updated to work with TensorFlow 2. Some of the tutorials have to run in "v. 1 compatibility mode". Other tutorials simply cannot run in TF2 and would take too much effort to convert, so you will have to run them with an older TF1 version.
Hi, great work with the tutorials. Yours is the best tutorial I found on this subject for absolute AI beginners, all others on Github seem to assume a lot more TF knowledge. Have just noticed you said "Some of the tutorials have to run in "v. 1 compatibility mode". In case people are unsure how to use this mode with TF2, it was possible to run the "07 Inception Model" tutorial in TF2 making the following change to line 58 of inception.py: replace "import tensorflow as tf" with "import tensorflow.compat.v1 as tf"
Haven't tried this with any other of your TF1 tutorials, but hopefully this might help someone who is new to this and just wants to get something working quickly.
Thanks
from tensorflow-tutorials.
Related Issues (20)
- when i was trying to run this code in pycharm it unables to download inception package and it results to an error ImportError: No module named 'inception' so please help me to overcome on this issue HOT 1
- Tutorial 23: Memory Error HOT 1
- ValueError: Unknown loss function:sparse_cross_entropy HOT 2
- Tutorial 21 Already Exists Error HOT 1
- 23_Time-Series-Prediction.ipynb - Predicting future values when have no test data? HOT 2
- Deprecated scipy libraries HOT 3
- acc = sess.run(accuracy, feed_dict={x: mnist.test.images, y: mnist.test.Lables}) AttributeError: 'DataSet' object has no attribute 'Lables' HOT 2
- using Elmo embedding layer in image captioning model ( Tutorial #22) HOT 1
- Image Caption works poorly HOT 6
- Tutorial 20 ValueError in Keras HOT 3
- Now how to forecast the future without knowing the known values? HOT 2
- AttributeError: module 'tensorflow' has no attribute 'gfile' in style transfer notebook HOT 3
- model.prediction does not match model.evaluation loss error HOT 3
- Tutorial 23 Error: Supplying multiple axes to axis is no longer supported. HOT 1
- ValueError: could not convert string to float: '28-12-2017'. I am training the time series prediction model on stock market data set and faced this error HOT 1
- issue when implementing image caption model HOT 4
- module 'tensorflow.python.ops.variable_scope' has no attribute '_VARSCOPE_KEY' HOT 2
- Korean translation HOT 2
- Tutorial 22_Image_Captioning.ipynb is not working in Colab because of disk space limit HOT 2
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