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Advances in Deep Learning with the MLTK Container for TensorFlow 2.0, PyTorch and Jupyter Notebooks [Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML]
Deep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk.
Speaker(s)
Anthony Tellez, Staff Data Scientist, Splunk
Philipp Drieger, Staff Machine Learning Architect , Splunk
Anthony Tellez, Staff Data Scientist, Splunk
Philipp Drieger, Staff Machine Learning Architect , Splunk
Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1576909587
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By SplunkDeep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk.
Speaker(s)
Anthony Tellez, Staff Data Scientist, Splunk
Philipp Drieger, Staff Machine Learning Architect , Splunk
Anthony Tellez, Staff Data Scientist, Splunk
Philipp Drieger, Staff Machine Learning Architect , Splunk
Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1576909587