Results for "variational autoencoders"
Status: Free TrialSkills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
Status: Free TrialDeepLearning.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
Status: Free TrialImperial 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)
Status: Free TrialSkills 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
Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
Status: NewSkills you'll gain: Retrieval-Augmented Generation, Vector Databases, Agentic systems, AI Workflows, Hugging Face, CrewAI, Embeddings, Transfer Learning
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Status: Free TrialStatus: AI skillsSkills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Status: NewStatus: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Generative Model Architectures, Large Language Modeling, Generative AI, Model Evaluation, LangChain, Model Deployment, Data Ethics, Data Validation, Software Design Patterns, Data Cleansing, Data Quality, Vector Databases, Image Quality, Data Preprocessing, LLM Application, Embeddings, AI Workflows, Dashboard, Cloud Computing
Status: Free TrialSkills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Data Preprocessing, Artificial Intelligence, Recurrent Neural Networks (RNNs)
Status: Free TrialDeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Status: Free TrialSkills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
What brings you to Coursera today?
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
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Generative AI, LLMs, and Advanced Applications with Python:Â Packt
- Deep Learning with PyTorch : Generative Adversarial Network:Â Coursera
- Generative AI with Python:Â Packt
- Generative AI: Introduction and Applications:Â IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Open Generative AI: Build with Open Models and Tools:Â Coursera
- Generative AI and LLMs: Architecture and Data Preparation:Â IBM
