how does tensorflow indexing work

There’s github issue #206 to support this nicely, meanwhile you have to resort to verbose work-arounds The first example can be done with that combines two same-shaped tensors by selecting each element from one or the other tf.reset_default_graph() row_indices = tf.constant([1, 1, 2]) col_indices = tf.constant([0, 2, 3]) x = tf.zeros((3, 4)) sess = … Read more

How to replace (or insert) intermediate layer in Keras model?

The following function allows you to insert a new layer before, after or to replace each layer in the original model whose name matches a regular expression, including non-sequential models such as DenseNet or ResNet. import re from keras.models import Model def insert_layer_nonseq(model, layer_regex, insert_layer_factory, insert_layer_name=None, position=’after’): # Auxiliary dictionary to describe the network graph … Read more

What is the difference between keras and tf.keras?

The difference between tf.keras and keras is the Tensorflow specific enhancement to the framework. keras is an API specification that describes how a Deep Learning framework should implement certain part, related to the model definition and training. Is framework agnostic and supports different backends (Theano, Tensorflow, …) tf.keras is the Tensorflow specific implementation of the … Read more