Applying and Deploying deep learning models across frameworks.

Deep Learning has been on the rise with several frameworks to help ease of development like TensorFlow, DeepLearning4j, Caffe, Torch and more to come.

In this session Karthik and Eduardo would demonstrate how to develop, export, package and deploy deep learning models in production across multiple frameworks.

Topics:

• What is deep learning and why now?
• Developing deep learning model with Tensorflow
• Deploying deep learning model using DeepLearning4j.
• Monitoring models in production.

Session length

40 minutes

Language of the presentation

English

Target audience

Beginner: No need to have prior knowledge

Who is your session intended to

data scientist
data engineer

Speaker

Karthik Bharadwaj Thirumalai, Eduardo Gonzalez (Teradata)