Hands-on Workshop Deep Learning – PDH or CEU

This full-day, in-person workshop will teach you the fundamental tools and techniques to build, train, and evaluate deep learning models. Through hands-on exercises, this workshop is designed to illustrate how deep learning works. Using examples and exercises in computer vision, you will learn to build your deep learning model from scratch and also use state-of-the-art practices such as deep transfer learning. You will also learn several hacks to improve a deep learning model and push its accuracy to the highest possible range. Learning Objectives – Build, train, and evaluate convolutional neural networks using Tensorflow/Keras – Learn several hacks such as regularization and data augmentation – Learn to apply deep transfer learning to train an accurate model Registration (Registration link is for Application Submission) Industry professionals are encouraged to apply. There will be options to obtain continuing education units (CEUs) and professional development hours (PDH) credits. Participants are expected to have some familiarity with the Python language (we will share pre-workshop tutorials). Selected applicants will be notified on November 30, 2022. The registration cost for selected applicants is $25. There are 50 seats in total. Apply: https://bit.ly/apply2022dl Accepted candidates will be sent specific registration or follow-up information. Speaker(s): Dr. Badri Adhikari, Agenda: Workshop Schedule MORNING SESSION – Create deep learning models using automated tools – Mood recognition/classification using convolutional neural networks – Select your project/dataset and obtain initial accuracy – Regularize your model LUNCH BREAK (Lunch will be provided) AFTERNOON SESSION – Apply data augmentation and deep transfer learning – Introduce interpretable deep learning and ethics University of Missouri-St. Louis (UMSL), Saint Louis, Missouri, United States