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Results for "pytorch"


  • D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Deep Learning, Generative Model Architectures, Model Training, Data Pipelines, Embeddings, Artificial Neural Networks, Computer Vision, Data Preprocessing, Model Evaluation, Natural Language Processing, Machine Learning

    4.8 stars, 130 reviews, Intermediate, Professional Certificate, 1 - 3 Months

    ★ 4.8 (130) · Intermediate · Professional Certificate · 1 - 3 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Data Pipelines, Model Training, Model Evaluation, Machine Learning

    4.8 stars, 109 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (109) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

    4.4 stars, 1.9K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    PyTorch Ultimate 2024 - From Basics to Cutting-Edge

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning, Generative Model Architectures, Graph Theory, Artificial Intelligence, Dimensionality Reduction, Model Optimization, Network Model

    4.5 stars, 105 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (105) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
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  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis

    4.5 stars, 4.3K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.5 (4.3K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    4.5 stars, 108 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (108) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Model Evaluation, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    4.6 stars, 22K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • M

    Microsoft

    Re-Ranking, Multi-Task Learning & Generative RecSys

    Skills you'll gain: Generative AI, Generative Model Architectures, LLM Application, Model Optimization, Embeddings, Responsible AI, PyTorch (Machine Learning Library), Machine Learning, Business Logic, Model Evaluation, Data Science, Computer Science, Software Development

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Machine Learning Methods, Model Training, Hugging Face

    4.1 stars, 37 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.1 (37) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4 stars, 2.1K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (2.1K) · Advanced · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Data Import/Export

    4.7 stars, 101K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.7 (101K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
1234…19

Best Pytorch courses from IBM

Top-rated Pytorch courses offered by IBM on Coursera.

  1. 1
    Introduction to Neural Networks and PyTorch
    IBMIntermediate1 - 3 Months4.4(1,917)IBM
  2. 2
    IBM Deep Learning with PyTorch, Keras and Tensorflow
    IBMIntermediate3 - 6 Months4.5(4,304)IBM
  3. 3
    Deep Learning with PyTorch
    IBMIntermediate1 - 3 Months4.5(108)IBM

Best Pytorch certificate programs

Earn a certificate in Pytorch from top universities and companies.

  1. 1
    PyTorch for Deep Learning
    DeepLearning.AIIntermediate1 - 3 Months4.8(130)Professional Certificate
  2. 2
    PyTorch Ultimate 2024 - From Basics to Cutting-Edge
    PacktIntermediate3 - 6 Months4.5(105)Specialization
  3. 3
    IBM AI Engineering
    IBMIntermediate3 - 6 Months4.6(22,350)Professional Certificate

Frequently Asked Questions about Pytorch

PyTorch is an open-source machine learning library widely used for deep learning applications. It provides a flexible and efficient platform for building neural networks, making it a popular choice among researchers and developers. Its dynamic computation graph allows for real-time changes, which is particularly beneficial for tasks that require rapid experimentation. The importance of PyTorch lies in its ability to simplify complex processes, enabling users to focus on developing innovative solutions in areas such as computer vision, natural language processing, and reinforcement learning.‎

With skills in PyTorch, you can pursue various job roles in the tech industry. Common positions include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles often involve developing algorithms, analyzing data, and creating models that can learn from and make predictions based on data. Additionally, companies in sectors like healthcare, finance, and technology are increasingly seeking professionals who can leverage PyTorch to drive innovation and efficiency.‎

To effectively learn PyTorch, you should focus on several key skills. First, a solid understanding of Python programming is essential, as PyTorch is built on this language. Familiarity with linear algebra and calculus will also help you grasp the underlying concepts of machine learning. Additionally, knowledge of neural networks, data preprocessing, and model evaluation techniques is crucial. As you progress, exploring advanced topics such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) will further enhance your expertise.‎

There are numerous online courses available to help you learn PyTorch effectively. Some of the best options include the IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate, which provides a comprehensive introduction to deep learning concepts. Another excellent choice is the Deep Learning with PyTorch course, which focuses on practical applications. For a more extensive learning path, consider the PyTorch Ultimate 2024 - From Basics to Cutting-Edge Specialization.‎

Yes. You can start learning pytorch on Coursera for free in two ways:

  1. Preview the first module of many pytorch courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in pytorch, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn PyTorch effectively, start by selecting a course that matches your current skill level. Begin with foundational courses that cover the basics of Python and machine learning concepts. As you progress, engage in hands-on projects to apply what you've learned. Utilize online forums and communities to ask questions and share experiences. Consistent practice and experimentation will help reinforce your understanding and build confidence in using PyTorch.‎

Typical topics covered in PyTorch courses include the fundamentals of tensors, building and training neural networks, optimization techniques, and model evaluation. Advanced courses may explore specific applications such as computer vision, natural language processing, and reinforcement learning. Additionally, many courses emphasize practical projects that allow learners to apply their knowledge in real-world scenarios, enhancing both understanding and skill development.‎

For training and upskilling employees, courses like the Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate are particularly beneficial. These programs provide a structured approach to learning essential skills in machine learning and deep learning using PyTorch. Additionally, the Deep Learning with PyTorch course offers practical insights that can be directly applied to workplace projects, making it an excellent choice for workforce development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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