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  • Rnn Based Model Development


Results for "rnn-based model development"


  • Status: New
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    C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Network Architecture, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Transfer Learning, Systems Design, AWS SageMaker, Model Evaluation, API Design, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, CI/CD, Data Pipelines, Python Programming, Unit Testing, Performance Tuning, Software Engineering, Data Validation

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    ML Model Training & Validation

    Skills you'll gain: Deep Learning, Transfer Learning, Systems Design, Model Evaluation, Feature Engineering, Predictive Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Supervised Learning, Data Preprocessing, Data Pipelines, Python Programming, Scikit Learn (Machine Learning Library), Software Engineering, Debugging, Data Quality, Data Validation, Performance Metric, Git (Version Control System), Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills 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

    4.6
    Rating, 4.6 out of 5 stars
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    47 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    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

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
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    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • The Google AI Certificate that powers your career

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  • Status: New
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    Vanderbilt University

    AI Agents with Model Context Protocol

    Skills you'll gain: Model Context Protocol, AI Workflows, Generative AI Agents, Agentic Workflows, AI Orchestration, Agentic systems, Tool Calling, Artificial Intelligence and Machine Learning (AI/ML), AI Security, AI Enablement, Artificial Intelligence, LLM Application, Prompt Patterns, Prompt Engineering, ChatGPT, AI Personalization, AI Product Strategy, Anthropic Claude, Multimodal Prompts, Generative AI

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    Coursera

    Optimize and Manage Your ML Codebase

    Skills 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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills 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

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
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    C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

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In summary, here are 10 of our most popular rnn-based model development courses

  • AI Model Development & Deployment: Coursera
  • ML Model Training & Validation: Coursera
  • Design and Build Custom Neural Networks: Coursera
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • AI Agents with Model Context Protocol: Vanderbilt University
  • Optimize and Manage Your ML Codebase: Coursera
  • Foundations of Neural Networks: Johns Hopkins University

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