Variational Autoencoders Explained | What are Autoencoders | Autoencoders Tutorial | Simplilearn

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Variational Autoencoders Explained | What are Autoencoders | Autoencoders Tutorial | Simplilearn 🔥Artificial Intelligence Engineer (IBM) - 🔥Purdue - Post Graduate Program in AI and Machine Learning - 🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - 🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - In this video on Variational Autoencoders (VAEs), we will dive into this fascinating deep learning model that combines elements of autoencoders and probabilistic graphical models. VAEs are a type of generative model, meaning they can generate new data points similar to the data they were trained on. The main idea behind a VAE is to learn a compact, continuous latent space representation of the input data, making it possible to sample and generate new data points that resemble the original input distribution. 00: 00 Introduction 02: 15 What is Variational Autoencoder ? 05: 30 Building the model architecture 15: 20 Test the model with Inference ✅ Subscribe to our Channel to learn more about the top Technologies: ⏩ Check out More Videos On AI By Simplilearn: #Autoencoders #AI #MachineLearning #GenaAI #GenerativeAI #Simplilearn #2025 ➡️ About Post Graduate Program in AI and Machine Learning Boost your career with this AI and ML Certification program, delivered in collaboration with Purdue University and IBM. Learn in-demand skills such as machine learning, deep learning, NLP, computer vision, reinforcement learning, generative AI, prompt engineering, ChatGPT, and man
  2025/08/23      youtube

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