Gain practical knowledge of supervised learning algorithms, key machine learning concepts, and more. (12 weeks)
Learn the basics of deep learning, the fundamentals of neural, convolutional, and recurrent network architectures, and more. (12 weeks)
Discover how to use the most popular machine learning framework to build neural networks applications in Python*. (8 weeks)
Topics include machine learning, developing AI software with Intel® hardware and tools, and the latest frameworks and libraries.
Read about AI innovations that use Intel® technology and how the technology is used to advance research and application development.
Explore these technical articles that highlight AI breakthroughs and research powered by Intel® technology.
This open-source software library from Google* is equipped with optimizations for Intel® CPUs to increase speed.
Use this Python-based, Intel-optimized scientific computing package for deep learning training and inference workloads.
Perform distributed deep learning training on Apache Spark* programs that can run on top of existing Spark or Hadoop* clusters.
Master the process of engineering high-speed machine learning inference applications on powerful Intel® FPGAs. (5 weeks)
Power your inference-based applications with Intel® processors and Intel® Processor Graphics on laptops, 2 in 1s, and desktop computers.