-
0
Shopping Cart
Your cart is empty
- My Account
Generative AI: From GANs to Diffusion
Generative AI: From GANs to Diffusion
Explore generative AI techniques such as GANs and diffusion models. Learn how to create realistic images, videos, and audio using cutting-edge generative networks and frameworks.
- Duration: Hours
- Lectures: 30
- Skill Level: Advanced
- Language: English & Japanese
Price : $ 173.00
Description
This course dives into generative AI, focusing on Generative Adversarial Networks (GANs) and diffusion models. You will learn theory, architectures, and implementation techniques to generate realistic multimedia content like images, videos, and audio samples using Python frameworks.
Our Courses
Our Most Popular Courses
Applied Machine Learning with Python
This course teaches applied machine learning using Python, covering data preprocessing, model building, evaluation, and deployment. You will work with libraries like scikit-learn, pandas, and NumPy on real-world datasets to build practical skills.
Deep Learning with TensorFlow
Master deep learning concepts and techniques using TensorFlow. This course covers convolutional and recurrent neural networks, LSTMs, and how to apply these models in real-world AI applications for image and text data.
Natural Language Processing with Transformers
Learn natural language processing with state-of-the-art transformer models such as BERT and GPT. This course covers tokenization, embeddings, attention mechanisms, and fine-tuning transformer models for various NLP tasks.
AI for Business Strategy
Explore how artificial intelligence can transform business strategies and operations. Learn about AI-driven automation, decision-making, predictive analytics, and integration in various industries to boost efficiency and growth.
Computer Vision with OpenCV
Learn computer vision techniques and applications using OpenCV. Covers image processing, object detection, facial recognition, and video analysis with hands-on coding exercises.
2 Reviews on Generative AI: From GANs to Diffusion
Rina Yamamoto
初心者にも分かりやすく設計されていました。
William Lee
Introductory-level course, good for beginners.