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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


  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training, Model Deployment, Computer Vision

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Technologies and platforms for Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Infrastructure Architecture, Cloud Platforms, Deep Learning, Hardware Architecture, Computing Platforms, Information Technology, Internet Of Things, Embedded Software, Cloud Computing, Embedded Systems, Distributed Computing, Data Centers

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Image Analysis, Predictive Modeling, Data Preprocessing, Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Python Programming, Cloud Computing, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, Model Optimization, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Model Training, Network Architecture

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    39K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning, Fine-tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, ChatGPT, Generative AI, Machine Learning Methods, Generative AI Agents, IBM Cloud, Generative Model Architectures, Prompt Engineering Tools, Risking, AI Workflows, Application Deployment, AI literacy, Machine Learning Software, Business Workflow Analysis, Workflow Management, Machine Learning, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Model Optimization, Embeddings, Machine Learning Methods, Artificial Neural Networks, Deep Learning, Machine Learning, Dependency Analysis, Supervised Learning

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Technologies and platforms for Artificial Intelligence: Politecnico di Milano
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Advanced Generative Adversarial Networks (GANs): Packt
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Machine Learning: DeepLearning.AI
  • Advanced Learning Algorithms: DeepLearning.AI
  • Sequence Models: DeepLearning.AI
  • AI Foundations for Everyone: IBM

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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