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  • Computational Neuroscience

Computational Neuroscience Courses

Computational neuroscience courses can help you learn neural modeling, data analysis techniques, and the principles of brain connectivity. You can build skills in programming with Python, statistical analysis, and using machine learning algorithms to interpret neural data. Many courses introduce tools like MATLAB and TensorFlow, that support simulating neural networks and analyzing large datasets, enabling you to apply your knowledge in both research and practical applications.

Popular Computational Neuroscience Courses and Certifications


  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de Palermo

    Introducción a la Neurociencia

    Skills you'll gain: Neurology, Molecular Biology, Molecular, Cellular, and Microbiology, Psychology, Anatomy, Human Development, Mental Health, Mental Health Diseases and Disorders, Physiology, Cell Biology, Biology, Endocrinology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    403 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Cognición encarnada

    Skills you'll gain: Artificial Intelligence, Social Sciences, Psychology, Human Learning, AI literacy, Human Development, Sociology, Liberal Arts, Human Factors, Scientific Methods, Science and Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Model, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Cómputo evolutivo

    Skills you'll gain: Algorithms, Model Optimization, Machine Learning Algorithms, Theoretical Computer Science, Program Development, Solution Design

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Computing for Cancer Informatics

    Skills you'll gain: Computer Systems, Informatics, Data Processing, Computing Platforms, Health Informatics, Bioinformatics, Data Storage Technologies, Data Storage, Computer Literacy, Computer Hardware, Big Data, Data-Driven Decision-Making, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

1…64656667

In summary, here are 10 of our most popular computational neuroscience courses

  • Deep Neural Network for Beginners Using Python: Packt
  • Introducción a la Neurociencia: Universidad de Palermo
  • Deep Learning - Crash Course 2023: Packt
  • Generative AI Models and GPU Systems: Edureka
  • Cognición encarnada: Universidad Nacional Autónoma de México
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Core generative models and techniques: Microsoft
  • Cómputo evolutivo: Universidad Nacional Autónoma de México
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI

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