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  • Training And Testing An Artificial Neural Network

Results for "training and testing an artificial neural network"


  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    AI Development with DeepSeek for Developers

    Skills you'll gain: Deepseek, DeepSeek API, LangChain, LLM Application, Generative AI Agents, Model Evaluation, Application Programming Interface (API), Text Mining

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Machine Teaching for Autonomous AI

    Skills you'll gain: Data Storytelling, Automation, Decision Support Systems, User Story, AI Product Strategy, Human Machine Interfaces, Artificial Intelligence, Machine Learning, Data-Driven Decision-Making, Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: 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, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    654 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • 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), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular training and testing an artificial neural network courses

  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • AI Development with DeepSeek for Developers: Board Infinity
  • Machine Teaching for Autonomous AI: University of Washington
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Foundations of Machine Learning with Azure: Packt

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