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  • Neural Network Implementation

Results for "neural network implementation"


  • Status: Free Trial
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    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Machine Learning Algorithms, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    939 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), File I/O, Data Structures, Programming Principles, Object Oriented Programming (OOP), Debugging, Computer Programming, Unit Testing, C (Programming Language), Program Development, Integrated Development Environments, Computer Science, Software Testing, Algorithms, Integration Testing, Software Design, System Design and Implementation, Distributed Computing, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Information​ ​Systems

    Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Analysis, Business Systems, Cloud Computing, IT Management, Change Management, Business Technologies, Information Technology, Organizational Change, Technology Strategies, Process Flow Diagrams, System Implementation, Governance, Project Management, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    RF/Microwave Design - Antenna Design

    Skills you'll gain: electromagnetics, Electrical Engineering, Electronics Engineering, Electronics, Verification And Validation, Communication Systems, Wireless Networks, Digital Communications, Telecommunications, Technical Design, Prototyping, Engineering Design Process, Simulation and Simulation Software, Simulations, Workflow Management, Radiation Protection, Network Troubleshooting, Business Workflow Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    286 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Introduction to the Internet of Things and Embedded Systems

    Skills you'll gain: Embedded Systems, Internet Of Things, Embedded Software, Network Protocols, Wireless Networks, Computer Hardware, Hardware Architecture, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Microsoft Windows 10 Pro - Hands-On Training

    Skills you'll gain: Group Policy, Network Administration, TCP/IP, Application Deployment, Command-Line Interface

    Intermediate · Course · 3 - 6 Months

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

  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Deep Learning with PyTorch: IBM
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Introduction to Data Science in Python: University of Michigan
  • IBM Machine Learning: IBM
  • Information​ ​Systems: University of Minnesota
  • RF/Microwave Design - Antenna Design: Coursera
  • Deep Learning and Reinforcement Learning: IBM

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