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  2. 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


  • E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Artificial Neural Networks, Network Model, Development Environment, Project Implementation

    4.6 stars, 14 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

  • E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Build Machine Learning Models and Neural Networks

    Skills you'll gain: Tensorflow, Feature Engineering, Model Training, Data Preprocessing, Model Optimization, Logistic Regression, Computer Vision, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Data Transformation, Machine Learning Software, Deep Learning, Classification Algorithms, Regression Analysis, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Network Model

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
  • J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Core Neural Architectures & Generative Models

    Skills you'll gain: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Deep Learning, Autoencoders, Transfer Learning, Databricks, Machine Learning, Computer Science, Algorithms, Data Science

    Advanced · Course · 1 - 3 Months

    Category: New
    New
  • 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, Python Programming, Model Training, Model Optimization

    4.9 stars, 124K reviews, Intermediate, Course, 1 - 4 Weeks

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

  • J

    John Wiley & Sons

    Advanced Machine Learning, Neural Networks, and NLP

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Predictive Modeling, NumPy, Regression Analysis, Data Preprocessing

    4.7 stars, 6 reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis, Model Optimization

    4.7 stars, 2.4K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.7 (2.4K) · Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Neural Networks and PyTorch

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

    4.4 stars, 1.9K reviews, Intermediate, Course, 1 - 3 Months

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

  • S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning

    4.4 stars, 40 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.4 (40) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

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