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  • Artificial Neural Network

Results for "artificial neural network"


  • I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation

    Coursera Plus

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    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Neural Networks and PyTorch

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

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    N

    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Coursera Plus

    Included with Coursera Plus

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

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    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing

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    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    B

    Board Infinity

    Advanced Deep Learning Architectures

    Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision

    Coursera Plus

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    Intermediate · Specialization · 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, Applied Machine Learning, Deep Learning, Machine Learning

    Coursera Plus

    Included with Coursera Plus

    4.4
    Rating, 4.4 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

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  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

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    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

    Coursera Plus

    Included with Coursera Plus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming

    Coursera Plus

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    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Introduction to Artificial Intelligence (AI): IBM
  • Introduction to Neural Networks and PyTorch: IBM
  • Deep Learning for AI Part 1: Northeastern University
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Advanced Deep Learning Architectures: Board Infinity
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College

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