Deep Learning is powering many of the biggest breakthroughs in artificial intelligence. However, this is a relatively complex task as there are many challenges in installing and using the required frameworks and the performance of open source deep learning frameworks on standard servers is low.
Learn how you can easily plug, train and deploy deep learning models for image and text analysis problems, using the Deep Learning Training and Deployment Beta Tools from Intel. These tools enable the use of optimized open source deep learning frameworks, including Caffe* and TensorFlow*, through a step by step wizard or iPython interactive notebook. It includes advanced tools for easy data pre-processing and model training, optimization and deployment, providing an end-to-end solution to the problem.
What You Can Expect to Learn:
Nir Lotan is a machine learning product manager and team manager in Intel’s Advanced Analytics department. Nir’s team develops machine learning and deep learning related tools, including a tool that enables easy creation of deep learning models. Nir has 15 years of experience in software and systems engineering, products, and management and holds a BSc degree in computer engineering from the Technion Institute of Technology.
Ran Cohen is the product owner and architect of the deep learning deployment tools. Ran, together with the development team, takes the best optimized algorithms from various Intel departments and brings the best under one unified software stack. Ran has 25 years of experience in software development and 20 years of experience managing software teams. Ran holds a BSc degree in computer engineering and a BSc in Physics both summa-cum-laude from the Technion Institute of Technology.