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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


  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    Advanced · Specialization · 1 - 3 Months

  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Data Analytics Using SPSS Modeler Workflows

    Skills you'll gain: Dashboard, Data Transformation, Analytics, Data Presentation, Data Preprocessing, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Data Quality, SPSS, Predictive Modeling, Workflow Management, Data Visualization Software, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

  • U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Michigan

    Innovations in Investment Technology: Artificial Intelligence

    Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Automation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    420 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Image Analysis, Data Pipelines, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    689 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • AI Engineer Professional: Packt
  • Deep Learning and Reinforcement Learning: IBM
  • Apply Data Analytics Using SPSS Modeler Workflows: EDUCBA
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
  • PyTorch: Fundamentals: DeepLearning.AI
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Prediction and Control with Function Approximation: University of Alberta

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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