Introduction to PyMAPDL & ML/AI - Lesson 1 скачать в хорошем качестве

Introduction to PyMAPDL & ML/AI - Lesson 1

With the advent of PyAnsys, which offers Python APIs and modules compatible with Ansys products, there has been a possibility of generating numerically accurate data for any experiments/situations. Considering numerous possibilities for boundary conditions, a strong dataset can be created using PyMAPDL to study structural behavior, that can serve as an input to the ML algorithm for a concerned application. The following lesson discusses the capabilities of PyMAPDL and how does it help to fulfill the basic need of providing synthetic datasets for machine learning algorithms. // INTERESTED IN MORE? Visit Ansys Innovation Courses for free courses that include videos, handouts, simulation examples with starting files, homework problems, and quizzes. Visit today → https://bit.ly/3Eo8esU // DOWNLOAD FREE ANSYS SOFTWARE Ansys offers free student product downloads for homework, capstone projects, student competitions, online learning, and more! Download today → https://bit.ly/32eEcuR // QUESTIONS ABOUT THIS VIDEO OR USING ANSYS? Get help from Ansys experts and peers through the Ansys Learning Forum. Search for answers to common questions, browse discussion categories, or ask your own question. Visit today → https://bit.ly/3qsytK2 // STAY IN THE LOOP Follow our Ansys Academic LinkedIn showcase page for updates on learning resources, events, job opportunities, cutting-edge simulation content, and more! Follow today → https://bit.ly/3Bbaaow Chapters - 00:00 Introduction 01:00 Definition of AI/ML & NN 01:33 Pin Code Reader ML Model Example 02:26 Classification of ML Algorithm 03:42 Synthetic Data Set 04:41 PyMAPDL & AI/ML 05:30 Advantages of PyMAPDL for AI/ML 07:36 Summary