Results for "autoencoders"
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction
University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Google Cloud
Skills you'll gain: Model Deployment, Keras (Neural Network Library), Model Training, Tensorflow, Generative AI, Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis
Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Autoencoders, Model Evaluation, Embeddings, Model Optimization, Natural Language Processing, Model Training, Bayesian Statistics, Statistical Methods, Sampling (Statistics), Probability Distribution
Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
What brings you to Coursera today?
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Skills you'll gain: Vibe coding, Prompt Engineering, Prompt Patterns, AWS SageMaker, AI Integrations, Generative AI Agents, Amazon Web Services, Infrastructure as Code (IaC), Prompt Engineering Tools, AI Security, AI Enablement, Generative AI, AI Personalization, AWS CloudFormation, AI Workflows, Computer Programming, Computer Programming Tools, Artificial Intelligence, Autoencoders, Building Codes
Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)
Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
In summary, here are 10 of our most popular autoencoders courses
- Introduction Course to Autoencoders, VAEs, and GANs:Â Simplilearn
- Computer Vision:Â University of Colorado Boulder
- Encoder-Decoder Architecture:Â Google Cloud
- Generative Deep Learning with TensorFlow:Â DeepLearning.AI
- Generative AI Part 2:Â Northeastern University
- IBM Machine Learning:Â IBM
- Advanced Deep Learning Architectures:Â Edureka
- Generative AI-Powered Assistant for Developers:Â Packt
- IBM AI Engineering:Â IBM
- Transformer Architectures and Multimodal Models:Â Edureka
