The following example code shows how to use a Python Keras LSTM for a specific example. This example uses a simple dataset of 1000 samples consisting of two features and a label. The label is binary, ...

Keras is one of the leading high-level neural networks APIs. It is written in Python and supports multiple back-end neural network computation engines.

Different stats are obtained too. Also, after training at least one model you can use it to execute the example in example_candidates.py. Just change the model file name to the one you trained.

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

we are going to discuss the loss functions supported by the Tensorflow keras library with a standalone code usage in Python.

For example, clustering the execution paths into a logical workflow of the system would be applied to automate specific software tasks. Code2graph has been successfully used to generate static call ...