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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


  • P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Supervised Learning, Model Training, Data Science, Machine Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    ★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Markov Model, Embeddings, Dimensionality Reduction, Large Language Modeling, Machine Learning Methods, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Logistic Regression, Feature Engineering, Applied Machine Learning

    ★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture

    ★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Logistic Regression, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Deep Learning, Regression Analysis, Machine Learning, Supervised Learning, Data Preprocessing, Statistical Methods, Data Processing, Probability & Statistics

    ★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning

    ★ 2.3 (7) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Recurrent Neural Networks (RNNs), Python Programming, Model Training, Model Optimization

    ★ 4.9 (124K) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning

    ★ 4.8 (3.6K) · Intermediate · Course · 1 - 4 Weeks

    Category: Bestseller
    Bestseller
  • E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Data Processing, Model Optimization, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Feature Engineering, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Development Environment

    ★ 4.5 (11) · Mixed · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing

    ★ 3.7 (6) · Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms

    ★ 4.2 (10) · Intermediate · Course · 1 - 3 Months

1234…434

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

  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Deep Learning with Real-World Projects: Packt
  • Natural Language Processing: DeepLearning.AI
  • Convolutional Neural Networks: DeepLearning.AI
  • Introduction to Neural Networks and PyTorch: IBM
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Generative AI with Large Language Models: DeepLearning.AI
  • Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA

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