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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


  • 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, Image Analysis, Deep Learning, Model Deployment, Autoencoders, Machine Learning, Computer Science, Algorithms, Data Science

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9 stars, 64K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.9 (64K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Design and Build Custom Neural Networks

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

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Deep Learning, Text Mining, Unstructured Data, Classification Algorithms, Markov Model, Data Preprocessing, Python Programming

    4.8 stars, 12 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.8 (12) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Neural Networks and Deep Learning

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

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

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

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

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

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

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

    Status: Free trial
    Free trial
  • U

    Universidade de São Paulo

    Processamento Neural de Linguagem Natural em Português I

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Embeddings, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Training, Model Optimization

    4.5 stars, 23 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (23) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • 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

    Status: Free trial
    Free trial
  • P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning, Calculus

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Statistical Visualization, R (Software), R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • 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, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Network Model, Project Implementation

    4.5 stars, 13 reviews, Mixed, Course, 1 - 4 Weeks

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

    Status: Free trial
    Free trial
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