Kurse
18860 Kurse
Keras Deep Learning & Generative Adversarial Networks (GAN)
Keras Deep Learning & Generative Adversarial Networks (GAN)
This course is designed to take you on an in-depth journey through the world of deep learning and artificial intelligence. Beginning with an introduction to AI and machine learning concepts, you’ll build a solid foundation in neural networks and deep learning with the Keras framework. As.
Coursera
Advanced Unity Scripting, AI, & Complete 3D Game Development
Advanced Unity Scripting, AI, & Complete 3D Game Development
In this course, you’ll begin by mastering Unity's NavMesh system to create intelligent agents capable of navigating complex environments. You'll learn how to handle challenging situations like moving agents across ramps, narrow places, and stairs, as well as making them jump using off-.
Coursera
Introduction to RNN and DNN
Introduction to RNN and DNN
Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and.
Coursera
Unreal Engine 5 – Create A Zombie Survivor FPS Game
Unreal Engine 5 – Create A Zombie Survivor FPS Game
Embark on an exciting journey into game development with this comprehensive course on Unreal Engine 5. Begin by learning how to set up the foundational elements of your game, including creating the night mood for a spooky atmosphere and designing the game area. Through hands-on lessons,.
Coursera
Advanced Generative Adversarial Networks (GANs)
Advanced Generative Adversarial Networks (GANs)
Embark on an enlightening journey into the realm of Generative Adversarial Networks (GANs), where you will master the art of AI-driven image synthesis. This course begins with a solid foundation, introducing you to the basic concepts and components of GANs, such as the Generator and Discriminator..
Coursera
RNN Architecture and Sentiment Classification
Title: RNN Architecture and Sentiment Classification
Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.
Coursera
Intermediate Data Manipulation and Machine Learning
Intermediate Data Manipulation and Machine Learning | Coursera
In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid foundation for machine learning. You will delve into regression analysis, applying univariate, polynomial, and multivariate regression techniques to real-wo.
Coursera
Mastering Neural Networks and Model Regularization
Mastering Neural Networks and Model Regularization
The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with r.
Coursera
AI for Cybersecurity
AI for Cybersecurity
This Specialization is designed for post-graduate students aiming to master AI applications in cybersecurity. Through three comprehensive courses, you will explore advanced techniques for detecting and mitigating various cyber threats. The curriculum covers essential topics such as AI-driven fraud prevention, malware analysis.
Coursera
Deep Learning Essentials
Deep Learning Essentials | University of Pennsylvania | Coursera
Join the University of Pennsylvania's Deep Learning Essentials course on Coursera. Delve into the rich history of deep learning, and gain a profound understanding of neural networks, including the perceptron. Discover how these networks function and explore the architectu.
Coursera
Ethics and AI: A Philosophical Guide to Responsible Use
Ethics and AI: A Philosophical Guide to Responsible Use
Course Title: Ethics and AI: A Philosophical Guide to Responsible Use
Description: This course aims to introduce foundational concepts related to defining AI and examining its regulation through a philosophical lens. Participants will be introduced to basic philosophic.
Coursera
Generative AI and Model Selection
Generative AI and Model Selection | Southern New Hampshire University | Coursera
Delve into the realm of generative AI and discover the intricacies of selecting the perfect model to suit your requirements with this hands-on course. You will develop a robust understanding of generative AI models, and examine various deployment options such as web.
Coursera