Published 7/2024
Created by AI Castle
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 15 Lectures ( 2h 0m ) | Size: 904 MB
Unveiling the Mystery: The Science Behind Machine Learning and Deep Learning
What you’ll learn:
Understanding the fundamental principles and algorithms of machine learning and deep learning
Acquiring methods for optimizing model performance through hyperparameter tuning
Gaining knowledge of various deep learning architectures (CNN, DNN, etc.) and their structure and operation principles
Recognizing and addressing major deep learning issues and challenges
Requirements:
There are no specific prerequisites for this course, as it is designed to be beginner-friendly.
However, a basic understanding of mathematics and programming concepts will be helpful to better grasp the material.
No specialized tools or equipment are required, but having a personal computer with internet access is essential to access the course materials and perform hands-on exercises.
Description:
Welcome to the standalone course on “Machine Learning and Deep Learning,” a unique offering that has been carefully crafted by referencing a key section of our comprehensive “Exciting AI: Autonomous Driving & RL with AWS DeepRacer” course.In this specialized course, we will dive deep into the foundations of machine learning and deep learning, both crucial components in the development of autonomous driving technologies. The course is structured as follows:Machine Learning OverviewHow Machines LearnHyperparametersDeep Learning and DNNCNN ModelDeep Learning IssuesWhether you are a beginner or have some experience in the AI field, this course will provide you with valuable insights into the inner workings of machine learning and deep learning algorithms. Throughout this course, you’ll gain a deeper understanding of how machines learn, the role of hyperparameters, and the differences between deep learning and traditional machine learning. You’ll also explore Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), and how they are applied to the DeepRacer Model. Lastly, we will discuss common issues encountered in deep learning and potential solutions.For your information, this course is designed to provide you with a focused understanding of machine learning and deep learning concepts. However, if you’re curious about not just the theoretical aspects of AI, but also eager to dive into hands-on practice and implementing autonomous driving solutions, we highly recommend enrolling in the full “Exciting AI: Autonomous Driving & RL with AWS DeepRacer” course. By taking the complete course, you’ll have the opportunity to explore AI concepts more extensively, and experience the thrill of creating your own autonomous driving models. Don’t hesitate to challenge yourself and join us in the exciting world of AI and autonomous driving!
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