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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


  • C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.5
    Rating, 3.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Predictive Modeling, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Unsupervised Learning, Supervised Learning, Control Systems, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Computer Vision

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

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Board Infinity

    The Rise of Generative AI

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, OpenAI, Artificial Intelligence, ChatGPT, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 1

    Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Generative Model Architectures, Natural Language Processing, Transfer Learning

    3.2
    Rating, 3.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Create a Superhero Name Generator with TensorFlow: Coursera
  • Applied Machine Learning: Johns Hopkins University
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Machine Learning: O.P. Jindal Global University
  • Reinforcement Learning: MathWorks
  • Introduction to Computer Vision: University of Colorado Boulder
  • The Rise of Generative AI: Board Infinity
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Interpretable machine learning applications: Part 3: Coursera

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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