Results for "variational autoencoders"
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Agentic systems, AI Workflows, Hugging Face, CrewAI, Embeddings, Transfer Learning
Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, Large Language Modeling, Generative Adversarial Networks (GANs), ChatGPT, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Prompt Engineering, Application Programming Interface (API), Transfer Learning, Machine Learning Algorithms, Data Preprocessing, Model Evaluation
Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
What brings you to Coursera today?
Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Responsible AI, Load Balancing, Large Language Modeling, Containerization, AI Security, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, Image Quality
Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis
Microsoft
Skills you'll gain: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Pipelines, Data Cleansing, Data Visualization Software, Data Preprocessing, Data Science, Autoencoders, Critical Thinking
University of Glasgow
Skills you'll gain: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders
Status: Trending in AISkills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Vector Databases, Machine Learning, Python Programming, Data Science
In summary, here are 10 of our most popular variational autoencoders courses
- Introduction Course to Autoencoders, VAEs, and GANs:Â Simplilearn
- Generative Deep Learning with TensorFlow:Â DeepLearning.AI
- Generative AI with Python:Â Packt
- Generative AI, LLMs, and Advanced Applications with Python:Â Packt
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Deep Learning with PyTorch : Generative Adversarial Network:Â Coursera
- Open Generative AI: Build with Open Models and Tools:Â Coursera
- Generative AI: Introduction and Applications:Â IBM
- Generative AI and Large Language Models:Â Coursera
- Generative AI for Data Scientists:Â Microsoft
