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Neural Networks Courses

Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.

Popular Neural Networks Courses and Certifications


  • U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Machine Learning Methods, Deep Learning, Machine Learning, Machine Learning Algorithms, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Program Development

    3.1
    Rating, 3.1 out of 5 stars
    ·
    30 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Data Ethics, Microsoft Excel, Generative AI, Excel Formulas, Responsible AI, Data Transformation, Linear Algebra, Feature Engineering, Digital Signal Processing

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Data Pipelines with TensorFlow Data Services

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, Feature Engineering, Data Transformation, Data Sharing, Model Training, Data Management, Performance Tuning, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    536 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Machine Learning, Machine Learning Methods, Model Evaluation, Artificial Neural Networks, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    86 reviews

    Intermediate · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

    3.4
    Rating, 3.4 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    AI for Knowledge Workers

    Skills you'll gain: Prompt Engineering, Responsible AI, AI literacy, AI powered creativity, AI Enablement, Anthropic Claude, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, ChatGPT, Emerging Technologies, Deep Learning, Machine Learning, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

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

  • Health Data Science Foundation: University of Illinois Urbana-Champaign
  • Explainable Machine Learning (XAI): Duke University
  • Introduction to Computer Vision: University of Colorado Boulder
  • Data Analytics and Deep Learning: Illinois Tech
  • Creating Multi Task Models With Keras: Coursera
  • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
  • Developing Explainable AI (XAI): Duke University
  • Explainable AI (XAI): Duke University
  • Applied Machine Learning: Johns Hopkins University
  • AI for Knowledge Workers: University of California, Davis

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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