|
11 | 11 | import struct |
12 | 12 | import tensorflow.contrib.keras as keras |
13 | 13 |
|
14 | | -# NOTE: |
15 | | -# ================================================ |
16 | | -# If you have TensorFlow >= v1.4 installed |
17 | | -# you can use the keras API directly instead |
18 | | -# of importing it from the contrib module |
19 | | -# for instance, in this code cell, you can skip |
20 | | -# the import, and following code cells, |
21 | | -# you can use |
22 | | -# `tf.keras.utils.to_categorical(y_train)` |
23 | | -# instead of `keras.utils.to_categorical(y_train)` |
24 | | -# and so forth. |
25 | | - |
26 | | - |
27 | | - |
28 | 14 | # *Python Machine Learning 2nd Edition* by [Sebastian Raschka](https://sebastianraschka.com) and Vahid Mirjalili, Packt Publishing Ltd. 2017 |
29 | 15 | # |
30 | 16 | # Code Repository: https://github.com/rasbt/python-machine-learning-book-2nd-edition |
@@ -479,6 +465,18 @@ def create_batch_generator(X, y, batch_size=128, shuffle=False): |
479 | 465 |
|
480 | 466 |
|
481 | 467 |
|
| 468 | +# NOTE: |
| 469 | +# ================================================ |
| 470 | +# If you have TensorFlow >= v1.4 installed |
| 471 | +# you can use the keras API directly instead |
| 472 | +# of importing it from the contrib module |
| 473 | +# for instance, in this code cell, you can skip |
| 474 | +# the import, and following code cells, |
| 475 | +# you can use |
| 476 | +# `tf.keras.utils.to_categorical(y_train)` |
| 477 | +# instead of `keras.utils.to_categorical(y_train)` |
| 478 | +# and so forth. |
| 479 | + |
482 | 480 | np.random.seed(123) |
483 | 481 | tf.set_random_seed(123) |
484 | 482 |
|
@@ -682,8 +680,3 @@ def tanh(z): |
682 | 680 |
|
683 | 681 |
|
684 | 682 |
|
685 | | - |
686 | | - |
687 | | - |
688 | | - |
689 | | - |
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