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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
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Derivatives

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    96 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Image Analysis, Statistical Machine Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Model Architectures & Language AI

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learn Imagery

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Transfer Learning, Fine-tuning, Deep Learning, Computer Vision, Applied Machine Learning, Technical Communication, Model Optimization, Geospatial Information and Technology, Machine Learning, Data Preprocessing, Model Deployment, Heat Maps, Data Pipelines, Machine Learning Algorithms, Augmented Reality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Model Training, Data Preprocessing, Machine Learning Methods, Embedded Systems, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Data Ethics, Deep Learning, Responsible AI, Data Collection, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Model Optimization, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    753 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    294 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    955 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    421 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Visual Perception for Self-Driving Cars

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    585 reviews

    Advanced · Course · 1 - 3 Months

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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
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • PyTorch for Deep Learning: DeepLearning.AI
  • Introduction to Machine Learning: Duke University
  • AI for Medicine: DeepLearning.AI
  • Advanced Model Architectures & Language AI: Coursera
  • Deep Learn Imagery: Coursera
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Deep Learning and Reinforcement Learning: IBM
  • Calculus for Machine Learning and Data Science: DeepLearning.AI

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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