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  • Restricted Boltzmann Machine

Results for "restricted boltzmann machine"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Intelligence, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    63K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Glasgow

    Generative Pre-trained Transformers (GPT)

    Skills you'll gain: Large Language Modeling, ChatGPT, LLM Application, Generative AI, Generative Model Architectures, Natural Language Processing, Risk Management Framework, Prompt Engineering, Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    Arm

    Optimizing Generative AI on Arm Processors

    Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Application Frameworks, Tensorflow, Applied Machine Learning, Performance Tuning, Hardware Architecture, Artificial Neural Networks, Computer Hardware, Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative Model Architectures, Text Mining, Semantic Web

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Generative AI and Symbolic Reasoning

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, ChatGPT, AI Product Strategy, Artificial Intelligence, LLM Application, Data Ethics, Prompt Engineering, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Supervised Learning, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular restricted boltzmann machine courses

  • Advanced Learning Algorithms: DeepLearning.AI
  • Machine Learning: University of Washington
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Generative Pre-trained Transformers (GPT): University of Glasgow
  • Optimizing Generative AI on Arm Processors: Arm
  • Learning Deep Learning: Unit 2: Pearson
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • Generative AI and Symbolic Reasoning: Johns Hopkins University

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