added 2 missing scripts to the README in the examples folder
@@ -75,6 +75,9 @@ Demonstrates how to use the sklearn wrapper.
[mnist_swwae.py](mnist_swwae.py)
Trains a Stacked What-Where AutoEncoder built on residual blocks on the MNIST dataset.
+[mnist_tfrecord.py](mnist_tfrecord.py)
+MNIST dataset with TFRecords, the standard TensorFlow data format.
+
[mnist_transfer_cnn.py](mnist_transfer_cnn.py)
Transfer learning toy example.
@@ -90,6 +93,9 @@ Loads pre-trained word embeddings (GloVe embeddings) into a frozen Keras Embeddi
[reuters_mlp.py](reuters_mlp.py)
Trains and evaluate a simple MLP on the Reuters newswire topic classification task.
+[reuters_mlp_relu_vs_selu.py](reuters_mlp_relu_vs_selu.py)
+Compares self-normalizing MLPs with regular MLPs.
+
[stateful_lstm.py](stateful_lstm.py)
Demonstrates how to use stateful RNNs to model long sequences efficiently.
