Results for "autoencoders"
Status: Free TrialSkills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction
Status: Free TrialUniversity 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
Status: NewSkills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture
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
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training
Status: Free TrialDeepLearning.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
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling
Status: NewStatus: Free TrialSkills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Status: Free TrialSkills 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, Artificial Intelligence, Model Training, Recurrent Neural Networks (RNNs), Responsible AI
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
Status: Free TrialSkills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, OpenAI API, Multimodal Prompts, Responsible AI, AI Security, Autoencoders, Model Deployment, Fine-tuning, Application Deployment
Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Model Evaluation, Classification Algorithms, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Embedded Systems, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Machine Learning Methods, Computer Vision, Responsible AI, Applied Machine Learning, Linear Algebra, Autoencoders, Bayesian Statistics
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
- Deep Learning for Time Series Cookbook:Â Packt
- Encoder-Decoder Architecture:Â Google Cloud
- Deep Learning for AI Part 1:Â Northeastern University
- Generative Deep Learning with TensorFlow:Â DeepLearning.AI
- Deep Learning and Modern AI Architectures:Â Coursera
- Machine Learning Engineer: ML and Deep Learning Models:Â Coursera
- Generative AI and LLMs: Architecture and Data Preparation:Â IBM
- Generative AI for NLP with PyTorch Capstone Project:Â IBM
