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  • Recurrent Neural Networks Rnns

Results for "recurrent neural networks (rnns)"


  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

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

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    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

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems Complete Course Beginner to Advanced

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    ·
    316 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Fine-tuning, Model Training, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Повышение эффективности глубоких нейросетей

    Skills you'll gain: Tensorflow, Model Optimization, Deep Learning, Data Compilation, Model Training, Statistical Analysis, Artificial Neural Networks, Model Evaluation, Performance Tuning, Machine Learning, Algorithms, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tweet Emotion Recognition with TensorFlow

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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, Large Language Modeling, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, Model Optimization, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Model Training, Network Architecture

    Advanced · Course · 3 - 6 Months

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In summary, here are 10 of our most popular recurrent neural networks (rnns) courses

  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Recommender Systems Complete Course Beginner to Advanced: Packt
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • Foundations of Deep Learning and Neural Networks: Packt
  • Повышение эффективности глубоких нейросетей: DeepLearning.AI
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • RNN Architecture and Sentiment Classification: Packt
  • Building and Training Neural Networks with PyTorch: Packt

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