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  • Statistical Testing For Neural Data

Results for "statistical testing for neural data"


  • 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 (64K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Training, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, LLM Application, Jupyter, AI Workflows, Model Training, Software Versioning

    ★ 4.7 (10) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • S

    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, Image Analysis, Computer Vision

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Supervised Learning, Model Training, Data Science, Machine Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Lean Six Sigma, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Test Tools, Statistical Methods, Statistical Software, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    ★ 4.6 (14) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, R (Software), Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms, Network Architecture, Data Processing

    ★ 5 (6) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Model Optimization, Deep Learning, Tensorflow, Model Evaluation, Model Training, Artificial Neural Networks, Performance Tuning, Test Data, Machine Learning, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Model Training, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Data Analysis

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…834

In summary, here are 10 of our most popular statistical testing for neural data courses

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Machine Learning with Small Data Part 2: Northeastern University
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Evaluating and Debugging Generative AI: DeepLearning.AI
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • RStudio for Six Sigma - Hypothesis Testing: Coursera
  • Inferenzstatistik: Duke University
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt

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