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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


  • Status: New
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    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Glasgow

    Evolutionary Computation and its Applications

    Skills you'll gain: Model Optimization, Applied Mathematics

    5
    Rating, 5 out of 5 stars
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    32 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms

    4.2
    Rating, 4.2 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universidad Austral

    Optimización de Redes Neuronales Profundas

    Skills you'll gain: Model Optimization, Tensorflow, Fine-tuning, Deep Learning, Performance Tuning, Model Training, Model Deployment, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
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    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Fundamental Neural Pathways For Movement

    Skills you'll gain: Sensory Systems Analysis, Exercise Science, Human Musculoskeletal System, Neurology, Physiology, Anatomy, Mechanics, Rehabilitation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, Natural Language Processing, Deep Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    40 reviews

    Beginner · Course · 1 - 3 Months

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    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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

  • Neural Networks and Computer Vision Foundations: Edureka
  • Evolutionary Computation and its Applications: University of Glasgow
  • Design and Build Custom Neural Networks: Coursera
  • Introduction to Neural Networks: Johns Hopkins University
  • Foundations of Model Optimization and Deep Learning: Packt
  • Optimización de Redes Neuronales Profundas: Universidad Austral
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Fundamental Neural Pathways For Movement: University of Colorado Boulder
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University

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