Results for "rnn-based+model+development"
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, AWS SageMaker, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Systems Design, Cloud Computing Architecture, Transfer Learning, Model Evaluation, Cloud Deployment, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management
Status: NewSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Computer Hardware
Status: NewKodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API)
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Status: NewStatus: Free TrialSkills you'll gain: Applied Machine Learning, Analysis, Performance Analysis
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing
Status: NewStatus: PreviewSkills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming
In summary, here are 10 of our most popular rnn-based+model+development courses
- AI Model Development & Deployment:Â Coursera
- Deep Learning with Python: CNN, ANN & RNN:Â EDUCBA
- Fine-Tuning & Optimizing Large Language Models:Â Edureka
- ML Model Development and Tracking: Hands-on Guide:Â KodeKloud
- Deploy ML Models to Production:Â KodeKloud
- AI Engineer Professional:Â Packt
- Deep Learning: Recurrent Neural Networks with Python:Â Packt
- Debug Neural Networks: Analyze Training Dynamics:Â Coursera
- Optimize and Manage Your ML Codebase:Â Coursera
- Analyze and Build Deep Learning Models with TensorFlow:Â EDUCBA
