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Results for "rnn-based model development"
Status: FreeDeepLearning.AI
DeepLearning.AI
Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Mobile Development, Computer Vision, Data Model, Mobile Development Tools, Python Programming, Tensorflow, Software Framework, iOS Development
DeepLearning.AI
Skills you'll gain: Machine Learning, Applied Machine Learning, Leadership and Management
Status: FreeDeepLearning.AI
Coursera Project Network
Skills you'll gain: Deep Learning, Python Programming
Coursera Project Network
Skills you'll gain: Computer Vision, Deep Learning
Skills you'll gain: Human Learning, Machine Learning, Deep Learning, Python Programming, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Regression, Statistical Machine Learning, Tensorflow
Skills you'll gain: Algorithms, Artificial Neural Networks, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Network Model, Applied Machine Learning, Network Architecture, Python Programming, Regression
Duke University
Skills you'll gain: Machine Learning, Python Programming
University of Alberta
Skills you'll gain: Machine Learning, Reinforcement Learning, Algorithms, Human Learning, Machine Learning Algorithms, Computer Programming, Applied Machine Learning, Statistical Machine Learning, Estimation, Mathematics
Status: FreeGoogle Cloud
Status: FreeGoogle Cloud
In summary, here are 10 of our most popular rnn-based model development courses
- Finetuning Large Language Models: DeepLearning.AI
- Device-based Models with TensorFlow Lite: DeepLearning.AI
- Machine Learning in Production: DeepLearning.AI
- LangChain for LLM Application Development: DeepLearning.AI
- Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
- Deep Learning with PyTorch : Siamese Network: Coursera Project Network
- Introduction to Neural Networks and PyTorch: IBM
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Introduction to Retrieval Augmented Generation (RAG): Duke University
- Sample-based Learning Methods: University of Alberta
