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Results for "gradient"


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Plot (Graphics), Prompt Engineering Tools, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Model Optimization, Data Visualization Software, Fine-tuning, Unstructured Data, Data Processing, Data Analysis

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Kinetics: Studying Spacecraft Motion

    Skills you'll gain: Mechanics, Torque (Physics), Control Systems, Engineering Analysis, Differential Equations, Mathematical Modeling, Engineering, Applied Mathematics, Physics, Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    134 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Machine Learning Methods, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Large Language Modeling, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Applied Machine Learning, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    84 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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…678…14

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

  • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
  • Kinetics: Studying Spacecraft Motion: University of Colorado Boulder
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Python Fundamentals and Data Science Essentials: Packt
  • Create a Superhero Name Generator with TensorFlow: Coursera
  • Logistic Regression with NumPy and Python: Coursera
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Fundamentals of Deep Learning: Whizlabs
  • RNN Architecture and Sentiment Classification: Packt

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