Results for "attention models"
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods
Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
What brings you to Coursera today?
Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric
Skills you'll gain: Model Evaluation, Deep Learning, Performance Tuning, Applied Machine Learning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis
Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture
In summary, here are 10 of our most popular attention models courses
- Natural Language Processing with Attention Models: DeepLearning.AI
- Generative AI Language Modeling with Transformers: IBM
- Explain Black-Box Models: Coursera
- Optimize Vision Datasets: Augment and Analyze: Coursera
- Fine-tune Multimodal Models with Transfer Learning: Coursera
- Foundations of Model Optimization and Deep Learning: Packt
- Optimize Deep Learning: Tune PyTorch Models: Coursera
- Probabilistic Graphical Models: Stanford University
- Vision Models: Train and Evaluate: Coursera
- Optimize Deep Learning Models for Peak AI: Coursera
