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Results for "sequence-to-sequence+model"
Coursera Project Network
Skills you'll gain: Tensorflow
Duke University
Skills you'll gain: Cloud Computing, Data Science, Machine Learning, Python Programming
Status: FreeKarlsruhe Institute of Technology
Skills you'll gain: Machine Learning, Natural Language Processing, Human Learning, Machine Learning Algorithms, Artificial Neural Networks, Statistical Machine Learning, Applied Machine Learning, Algorithms, Machine Learning Software
DeepLearning.AI
Skills you'll gain: Natural Language Processing
Status: FreeGoogle Cloud
Vanderbilt University
Stanford University
Skills you'll gain: Bayesian Network, General Statistics, Probability & Statistics, Graph Theory, Bayesian Statistics, Markov Model
DeepLearning.AI
Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Statistical Programming, Python Programming
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, Probability Distribution, General Statistics, Graph Theory, Bayesian Statistics, Correlation And Dependence, Markov Model, Network Model, Decision Making
Status: FreeGoogle Cloud
Status: FreeDeepLearning.AI
In summary, here are 10 of our most popular sequence-to-sequence+model courses
- Fine Tune BERT for Text Classification with TensorFlow: Coursera Project Network
- Large Language Model Operations (LLMOps): Duke University
- Machine Translation: Karlsruhe Institute of Technology
- Natural Language Processing with Attention Models: DeepLearning.AI
- Introduction to Image Generation: Google Cloud
- Advanced Prompt Engineering for Everyone: Vanderbilt University
- Probabilistic Graphical Models 2: Inference: Stanford University
- Natural Language Processing with Sequence Models: DeepLearning.AI
- Gen AI Foundational Models for NLP & Language Understanding: IBM
- Probabilistic Graphical Models 1: Representation: Stanford University
