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  • Pytorch Functions

Results for "pytorch functions"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    685 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Excel Advanced Functions and Analytics

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Visualization, Interactive Data Visualization, Dashboard, Forecasting, Dashboard Creation, Predictive Modeling, Data Validation, Data Entry, Data Management, Data Integrity, Data Security

    4.9
    Rating, 4.9 out of 5 stars
    ·
    34 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Relations and Functions

    Skills you'll gain: Graphing, Data Analysis, R (Software), R Programming, General Mathematics, Mathematical Modeling, Algebra, Mathematical Software, Applied Mathematics, Calculus, Business Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    224 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Abstraction, Problem Decomposition, and Functions

    Skills you'll gain: Computational Thinking, C (Programming Language), Programming Principles, Computer Programming, Code Reusability, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Model Training & Evaluation

    Skills you'll gain: Model Training, Model Optimization, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Functions

    Skills you'll gain: Code Reusability, Data Manipulation, Data Science, Python Programming, Programming Principles, Computer Programming, Software Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Multimodal Prompts, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular pytorch functions courses

  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Master Excel Advanced Functions and Analytics: EDUCBA
  • Foundations and Core Concepts of PyTorch: Packt
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Precalculus: Relations and Functions: Johns Hopkins University
  • Abstraction, Problem Decomposition, and Functions: University of Colorado System
  • Model Training & Evaluation: Coursera
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Introduction to Python Functions: University of Colorado Boulder

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