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  • Recurrent Neural Network

Recurrent Neural Network Courses

Recurrent Neural Network courses can help you learn sequence prediction, time series analysis, and natural language processing techniques. You can build skills in designing and training RNN architectures, optimizing model performance, and implementing long short-term memory (LSTM) networks. Many courses introduce tools like TensorFlow and Keras, that support developing AI applications that require handling sequential data, enabling you to apply your knowledge in practical scenarios.

Popular Recurrent Neural Network Courses and Certifications


  • C

    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Google Network Security

    Skills you'll gain: Hardening, Distributed Denial-Of-Service (DDoS) Attacks, Incident Response, Network Architecture, Network Security, Intrusion Detection and Prevention, Incident Management, Network Protocols, Threat Detection, Event Monitoring, Threat Management, Security Information and Event Management (SIEM), Network Monitoring, Network Infrastructure, Cyber Attacks, Computer Security Incident Management, Operating Systems, Linux, Bash (Scripting Language), Databases

    4.8
    Rating, 4.8 out of 5 stars
    ·
    90 reviews

    Beginner · Specialization · 3 - 6 Months

  • N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training

    Mixed · Course · 1 - 3 Months

  • S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Multimodal Prompts, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Applied Machine Learning, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Fine-tuning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Y

    Yonsei University

    Deep Learning for Business

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Machine Learning Software, Business Modeling, Business Strategies, Natural Language Processing, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    687 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Model Training, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular recurrent neural network courses

  • Debug Neural Networks: Analyze Training Dynamics: Coursera
  • Google Network Security: Google
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Learning Deep Learning: Unit 3: Pearson
  • Modèles de séquence: DeepLearning.AI
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • Deep Learning - Crash Course 2023: Packt

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