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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • 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 (21) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Large Language Modeling, Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Application Programming Interface (API), Model Evaluation

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Convolutional Neural Networks, Digital Signal Processing, Model Training, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications

    ★ 3.7 (12) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

  • E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Model Optimization, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Network Architecture

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    ★ 4.7 (417) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    ★ 4.1 (11) · Intermediate · Guided Project · Less Than 2 Hours

  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    ★ 3.6 (25) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Fine-tuning, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

    ★ 4 (32) · Intermediate · Guided Project · Less Than 2 Hours

1…789…775

In summary, here are 10 of our most popular pytorch (machine learning library) courses

  • Generative AI for Developers: Unit 2: Pearson
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Classify Radio Signals with PyTorch: Coursera
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Machine Learning with PySpark: Edureka
  • Mastering Image Segmentation with PyTorch: Packt
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Build a Machine Learning Image Classifier with Python: Coursera

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