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Results for "robotics ros"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Visión artificial contemporánea

    Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Unsupervised Learning

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of the Arts London

    Creative AI: Text and Transformations

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, OpenAI, Writing and Editing, Artificial Intelligence, Machine Learning Methods, Responsible AI, Natural Language Processing, Writing, Data Ethics, Artificial Neural Networks, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
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    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation, Application Deployment

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de IA Aplicados ao CRM

    Skills you'll gain: Predictive Analytics, Customer Relationship Management, Customer Data Management, Data-Driven Decision-Making, Applied Machine Learning, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, NumPy, Matplotlib, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular robotics ros courses

  • Advanced Generative Adversarial Networks (GANs): Packt
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Visión artificial contemporánea: Universidad de los Andes
  • Creative AI: Text and Transformations: University of the Arts London
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração
  • Learning Deep Learning: Unit 1: Pearson
  • Statistical Learning for Engineering Part 2: Northeastern University

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