6bc603b508
Move 13_deep_learning.ipynb to 11_deep_learning.ipynb
2019-02-17 20:31:59 +08:00
02763e43b9
Move TF notebooks to /work_in_progress and delete 09 and 12 which need a complete rewrite
2019-01-08 12:00:32 +08:00
ad125bbdba
Add hyperparameters to remove warnings, and sync comments with results
2018-12-25 15:34:36 +08:00
120a9e1e99
Update 11_deep_learning.ipynb
2018-12-01 15:40:53 +00:00
1c09995f1b
Remove unnecessary variable initialization, fixes #283
2018-08-20 18:55:24 +02:00
56be8647f9
Get output of hidden3, not hidden4 ( fixes #273 ).
2018-08-03 16:15:18 +01:00
0e0483d5ee
Add missing training: True for dropout, and point to tf.nn.selu, fixes #228
2018-05-27 21:24:24 +02:00
703815bca9
Use tensorflow_graph_in_jupyter.py in notebooks, fixes #223
2018-05-18 21:22:56 +02:00
cac02c5964
Updated to latest version of TensorFlow
2018-05-08 20:21:23 +02:00
a164ffc699
Remove uncessary reuse_vars_dict in notebook 11
2018-03-24 22:50:29 +01:00
2a02668e5e
Fix JSON formatting in new comment in the ch 11 notebook
2017-11-03 13:43:56 +01:00
99b91ae989
Update 11_deep_learning.ipynb
2017-11-03 12:07:37 +01:00
e5fb7fb175
Comments fix
2017-11-03 12:04:54 +01:00
ef8f8a66fa
0.18 version left with 0.19 suggestions commented
...
The previous version of the .fit( ) with the suggestion of how it should be done from the version 0.21.
2017-11-03 12:00:28 +01:00
ca61fc15ab
Scikit-learn 19.0 updates on .fit( ) arguments up.
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I have left unnecessary ',' at the end of the fit_params line, sorry for that.
2017-11-02 18:54:12 +01:00
ceaef6e7a1
Scikit-learn 19.0 updates on .fit( ) arguments
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Adopting code to my needs I have found that in the scikit-learn 19.0 they recommend to put params list directly into the .fit( ) methods. That also makes the code more understandable for me as now it is more clear where these values go to (fit( ) function of DNNClassifier).
Hope this makes sense.
2017-11-02 18:30:30 +01:00
dc901e0ada
Fix typos
2017-08-19 08:01:55 -07:00
a65ab3b154
Fixes #56 , bug in DNNClassifier for batch normalization
2017-07-13 11:13:37 +02:00
4b264044c8
Add SELU activation function example and snip out repetitive outputs
2017-06-21 15:35:47 +02:00
b2ec3968f5
Add exercise solutions for chapter 11
2017-06-14 09:09:23 +02:00
045150bd95
Use np.random.set_seed(42) and tf.set_random_seed(42) to make notebook's output constant
2017-06-07 08:59:58 +02:00
e6cd00f9a4
Sync chapter 11 notebook with the code samples in that chapter
2017-06-05 18:48:03 +02:00
326d32cae0
Use tf.layers instead of tf.contrib.layers
2017-04-30 10:21:27 +02:00
7997d4d38c
Fix bug: tf.add_n([loss] + reg_losses) rather than loss + reg_losses
2017-03-04 12:36:25 +01:00
d8176ec2cb
Upgrade notebooks to TensorFlow 1.0.0
2017-02-17 11:51:26 +01:00
ccb28831cb
Migrate to TensorFlow 0.11.0
2016-11-23 09:26:19 +01:00
d7d6c121e3
Add notebooks for chapters 5 to 14
2016-09-27 23:31:21 +02:00
Aurélien Geron