Haesun Park
81d2ff4614
설명 보완
2018-06-15 15:52:57 +09:00
Haesun Park
a0a49d1ae1
11장 노트북 재실행
2018-05-23 16:20:09 +09:00
rickiepark
17bc85ff54
variance_scaling_initializer 수정, 텐서보드 그래프 분리, keras mnist 적용
2018-05-20 21:59:30 +09:00
Haesun Park
0bd3f4c671
텐서플로 1.8 버전으로 재실행 및 강화학습 녹화 영상 개선
2018-05-03 15:10:41 +09:00
Haesun Park
53bff95537
11장 실행
2018-04-17 16:27:14 +09:00
Haesun Park
17122a4593
11장 그래프 제목 수정
2018-03-29 11:19:34 +09:00
Haesun Park
fd58032bb8
reuse_vars_dict 삭제( 4ad1d7cbd5)
2018-03-26 17:37:02 +09:00
Aurelien Geron
410b1beb74
Fix JSON formatting in new comment in the ch 11 notebook
2017-11-03 13:43:56 +01:00
Chris Qlasty
e2754cd72c
Update 11_deep_learning.ipynb
2017-11-03 12:07:37 +01:00
Chris Qlasty
cbe5fb39b3
Comments fix
2017-11-03 12:04:54 +01:00
Chris Qlasty
2b76749832
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
Chris Qlasty
a2b67bda3b
Scikit-learn 19.0 updates on .fit( ) arguments up.
...
I have left unnecessary ',' at the end of the fit_params line, sorry for that.
2017-11-02 18:54:12 +01:00
Chris Qlasty
2fd9f1e1be
Scikit-learn 19.0 updates on .fit( ) arguments
...
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
Jason Rys
632a14fd66
Fix typos
2017-08-19 08:01:55 -07:00
Aurelien Geron
a877054be8
Fixes #56 , bug in DNNClassifier for batch normalization
2017-07-13 11:13:37 +02:00
Aurelien Geron
b639cad9e2
Add SELU activation function example and snip out repetitive outputs
2017-06-21 15:35:47 +02:00
Aurelien Geron
ffcd8dfa8a
Add exercise solutions for chapter 11
2017-06-14 09:09:23 +02:00
Aurelien Geron
6689c3a1ef
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
Aurelien Geron
c58f1ed2da
Sync chapter 11 notebook with the code samples in that chapter
2017-06-05 18:48:03 +02:00
Aurelien Geron
7fd688d21d
Use tf.layers instead of tf.contrib.layers
2017-04-30 10:21:27 +02:00
Aurelien Geron
a9c1c20a9b
Fix bug: tf.add_n([loss] + reg_losses) rather than loss + reg_losses
2017-03-04 12:36:25 +01:00
Aurelien Geron
d526403bb8
Upgrade notebooks to TensorFlow 1.0.0
2017-02-17 11:51:26 +01:00
Aurelien Geron
277df4aa1b
Migrate to TensorFlow 0.11.0
2016-11-23 09:26:19 +01:00
Aurelien Geron
da638e55e4
Add notebooks for chapters 5 to 14
2016-09-27 23:31:21 +02:00
