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Neural Network Courses

Neural network courses can help you learn the principles of deep learning, backpropagation, and model optimization, along with practical applications like image recognition and natural language processing. You can build skills in data preprocessing, hyperparameter tuning, and evaluating model performance. Many courses introduce tools such as TensorFlow and PyTorch, that support implementing neural networks and experimenting with various architectures to solve complex problems in artificial intelligence and AI.


Popular Neural Network Courses and Certifications


  • Status: Free
    Free
    C

    Coursera

    Scripting with Alteryx: Python and R for Advanced Workflows

    Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, R (Software), Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Cleansing, Data Transformation, Risk Modeling, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    Illinois Tech

    Cloud: Platform as a Service - Bachelor's

    Skills you'll gain: Serverless Computing, Containerization, Platform As A Service (PaaS), Cloud Security, Docker (Software), Information Management, Cloud Computing Architecture, Cloud-Native Computing, Cloud Computing, Cloud Management, Cloud Infrastructure, Application Deployment, Public Cloud, Database Management, DevOps, CI/CD, Relational Databases, Microservices, Scalability, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering - Italiano

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Machine Learning, Statistical Methods

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Using Beam ML to catch Toxicity in Gaming

    Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Maryland, College Park

    Digital Marketing 2

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    프로덕션 머신러닝 시스템

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation, Machine Learning, Systems Design, Systems Architecture, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Data Processing, Hybrid Cloud Computing, Debugging

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems - Português Brasileiro

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

    Advanced · Course · 1 - 3 Months

Searches related to neural network

neural networks and deep learning
neural networks and random forests
convolutional neural networks
introduction to neural networks
foundations of neural networks
advanced neural network techniques
convolutional neural networks in tensorflow
introduction to neural networks and pytorch
1…36373839

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

  • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera
  • Cloud: Platform as a Service - Bachelor's: Illinois Tech
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Production Machine Learning Systems - Français: Google Cloud
  • Feature Engineering - Italiano: Google Cloud
  • Using Beam ML to catch Toxicity in Gaming: Google Cloud
  • Clustering and Classification with Machine Learning in R: Packt
  • Digital Marketing 2: University of Maryland, College Park
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA

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