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    Results for "training and testing an artificial neural network"

    • Status: Free Trial
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      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      43K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Pearson

      Generative AI for Developers: Unit 2

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, IT Automation, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Software Documentation, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Preview
      B

      Board Infinity

      AI Development with DeepSeek for Developers

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Natural Language Processing, Application Programming Interface (API), Performance Testing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      P

      Pearson

      Learning Deep Learning: Unit 1

      Skills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Linear Algebra, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Deep Learning, Javascript, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      158 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, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Machine Learning Algorithms, Analysis, Debugging, Application Frameworks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Mastering AI: Neural Nets, Vision System, Speech Recognition

      Skills you'll gain: Computer Vision, Deep Learning, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Matplotlib, Data Visualization, Probability & Statistics, Image Analysis, Regression Analysis, Machine Learning, Plotly, Scikit Learn (Machine Learning Library), Statistical Analysis, Statistical Methods, Natural Language Processing, Artificial Intelligence, Statistical Inference

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      U

      Università di Napoli Federico II

      Teaching with AI: tools

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    1234…834

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

    • Convolutional Neural Networks: DeepLearning.AI
    • Generative AI for Developers: Unit 2: Pearson
    • AI Development with DeepSeek for Developers: Board Infinity
    • Learning Deep Learning: Unit 1: Pearson
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • Foundations of AI and Machine Learning: Microsoft
    • Deep Learning with PyTorch: IBM
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka

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