The Splunk App for Data Science and Deep Learning (DSDL), formerly known as the Deep Learning Toolkit (DLTK), lets you integrate advanced custom machine learning and deep learning systems with the Splunk platform. DSDL extends the Splunk Machine Learning Toolkit (MLTK) with prebuilt Docker containers for TensorFlow, PyTorch, and a collection of data science, NLP, and classical machine learning libraries. By using predefined workflows for rapid development with Jupyter Lab Notebooks, DSDL enables you to build, test,and operationalise your custom models with Splunk. You can leverage GPUs for compute intense training tasks and flexibly deploy models on CPU or GPU enabled containers. The app ships with various examples that showcase different deep learning and machine learning algorithms for classification, regression, forecasting, clustering, graph analytics, and NLP. Learn from these examples to tackle your advanced data science use cases in the areas of IT Operations, Security, Application Development, IoT, Business Analytics, and beyond.