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  • Gradient

Results for "gradient"


  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Data Preprocessing, Supervised Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    CSS UI Effects: Shadows, Gradients & Animations

    Skills you'll gain: Cascading Style Sheets (CSS), User Interface (UI) Design, UI Components, User Interface (UI), User Interface and User Experience (UI/UX) Design, Browser Compatibility, Web Design, Responsive Web Design, Usability, Animations, Web Development

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    How to Create Color Gradients in Adobe Illustrator

    Skills you'll gain: Graphic and Visual Design, Adobe Creative Cloud, Graphical Tools, Graphic Design, Logo Design, Graphics Software, Graphic and Visual Design Software, Creative Design, Computer Graphic Techniques, Digital Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    MRI Fundamentals

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Image Quality, Digital Signal Processing, Medical Equipment and Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    474 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Irvine

    Basics of Extracellular Vesicles

    Skills you'll gain: Blood Collection, Specimen Collection, Specimen Processing, Specimen Preparation, Laboratory Testing, Cell Cultures, Biochemical Assays, Cell Biology, Analytical Testing, Laboratory Research, Molecular, Cellular, and Microbiology, Molecular Biology, Biology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    355 reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Statistical Software, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Derivatives: a guide to calculation

    Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, Model Optimization, Advanced Mathematics, Applied Mathematics, Machine Learning Methods, Mathematics Education, Digital pedagogy, Geometry, Mathematical Theory & Analysis, Graphing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 3

    Skills you'll gain: Large Language Modeling, Fine-tuning, Model Deployment, Transfer Learning, Generative Model Architectures, Model Optimization, Multimodal Prompts, Cloud Deployment, Generative AI, Model Training, Vision Transformer (ViT), Model Evaluation, Reinforcement Learning, Image Analysis

    Intermediate · Course · 1 - 4 Weeks

1…456…14

In summary, here are 10 of our most popular gradient courses

  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • CSS UI Effects: Shadows, Gradients & Animations: Scrimba
  • How to Create Color Gradients in Adobe Illustrator: Coursera
  • MRI Fundamentals: Korea Advanced Institute of Science and Technology(KAIST)
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Basics of Extracellular Vesicles: University of California, Irvine
  • Debug Neural Networks: Analyze Training Dynamics: Coursera
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Modeling Time Series and Sequential Data: SAS

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