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Neural Network Courses

Neural network courses can help you learn the principles of deep learning, backpropagation, and model optimization, along with practical applications like image recognition and natural language processing. You can build skills in data preprocessing, hyperparameter tuning, and evaluating model performance. Many courses introduce tools such as TensorFlow and PyTorch, that support implementing neural networks and experimenting with various architectures to solve complex problems in artificial intelligence and AI.


Popular Neural Network Courses and Certifications


  • Status: Free Trial
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    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Calculus

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Statistical Modeling, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
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    37K reviews

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    75 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Generative AI, PySpark, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, LLM Application, Applied Machine Learning, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Network Architecture, Algorithms, Statistical Methods, Performance Tuning, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    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, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
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    172 reviews

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to neural network

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1234…39

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

  • Neural Networks and Deep Learning: DeepLearning.AI
  • Deep Learning: DeepLearning.AI
  • Introduction to Neural Networks and PyTorch: IBM
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Foundations of Neural Networks: Johns Hopkins University
  • Machine Learning: DeepLearning.AI
  • Deep Learning with PyTorch: IBM
  • IBM AI Engineering: IBM
  • Introduction to Neural Networks: Johns Hopkins University
  • Mathematics for Machine Learning: Imperial College London

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