This immersive, online, four-week training course teaches students the tools and techniques needed to build and test neural networks in TensorFlow using real-world data.
Pragmatic Data Certification in AI with TensorFlow is awarded upon successful completion of this class and the course project.
Classes are held online from 1:00-3:00 p.m. ET on Tuesdays and Thursdays.
Classes will be held on the following dates: 2/4, 2/6, 2/11, 2/13, 2/18, 2/20, 2/25, 2/27
Build simple machine learners and neural networks while exploring Tensorflow
-Introduction to TensorFlow
-Optimization with computation graph
-Basic neural networks
Develop larger networks and address the challenges associated with them
-Deep neural networks
Begin survey of advanced networks with convolutional neural networks
-The Inception Model and the Deep Dream Algorithm
Explore more advanced network architectures with variational autoencoders
-Recurrent neural networks
This is an online course. Access to reliable internet is required for streaming lectures.
Students must have their own laptop or computer to work from during the course. All course programs and materials will be available for download.
If you miss a class, don’t worry. All lectures will be recorded and shared with the class, so you can catch up whenever your schedule allows.
Homework and Projects
You will work individually on projects designed to test your mastery of the concepts covered in the lectures. These projects utilize real-world datasets and provide you with a place to practice, develop, debug and deploy your newfound knowledge. Automated grading ensures you receive rapid feedback on your work.