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  • Recursive Neural Network

Results for "recursive neural network"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Applied Machine Learning, Predictive Modeling, Classification Algorithms, Predictive Analytics, Model Optimization, Tensorflow, Machine Learning, Model Training, Supervised Learning, Deep Learning, Regression Analysis, Model Evaluation, Statistical Methods, Data Preprocessing, Artificial Neural Networks, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Optimization, Image Analysis, Model Evaluation, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Artificial Intelligence for Robotics

    Skills you'll gain: Robotics, Artificial Intelligence, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Convolutional Neural Networks, AI Integrations, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning, Model Training, Machine Learning, Python Programming, Automation, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Advanced Machine Learning, Neural Networks, and NLP

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, 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, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Transformer Architectures and Multimodal Models

    Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic 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, Responsible AI, Data Ethics, Model Training, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introduction to Neural Networks and PyTorch: IBM
  • Deep Learning with PyTorch: IBM
  • Artificial Intelligence for Robotics: Packt
  • Deep Learning with PyTorch: Coursera
  • Advanced Machine Learning, Neural Networks, and NLP: John Wiley & Sons
  • Introduction to Neural Networks: Johns Hopkins University
  • Deep Learning: Illinois Tech
  • Transformer Architectures and Multimodal Models: Edureka
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Convolutional Neural Networks: DeepLearning.AI

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