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Learn AI Hands-On - PyTorch

The best way to learn PyTorch

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5 Courses and 2 Guided Projects

About this Learning Path

PyTorch is a versatile and widely-used deep learning library that offers a range of capabilities for machine learning practitioners. By taking these courses "PyTorch: Tensor, Dataset and Data Augmentation," "Linear Regression with PyTorch," "Classification with PyTorch," "Build a Neural Network with PyTorch," and "Convolutional Neural Networks with PyTorch," you'll gain a solid foundation in PyTorch and its applications. These courses will provide hands-on experience with tensors, dataset handling, data augmentation techniques, linear regression, classification, and building neural networks.

To further enhance your skills, engaging in the projects in this learning path: "Launch an AI Hotdog Detector as a Serverless Python App" and "Train a Hotdog Image Recognition Model with Python" will allow you to apply your knowledge in real-world scenarios. These projects will enable you to develop an end-to-end hotdog detection system, leveraging PyTorch's capabilities to train an image recognition model and deploy it as a serverless application.

By combining theoretical knowledge gained from the courses with the practical experience from the projects, you'll be well-equipped to tackle various machine learning tasks using PyTorch. Whether you aim to develop cutting-edge models, work with image recognition, or build serverless applications, PyTorch provides the necessary tools and resources to bring your ideas to life.

Average Course Rating

4.6 out of 5

Average Difficulty Level

Beginner

Skills You Will Learn


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Featured Courses
  • Train a Hotdog Image Recognition Model with Python
    Intermediate Guided Project Artificial Intelligence

    Train a Hotdog Image Recognition Model with Python

    We all know that machines can do a lot these days, including recognizing whether or not an image has a certain object in it. But did you know that you, too, can train a model to do just that? In this guided project, you’ll learn how to train a model in Python with PyTorch, a machine learning library, to detect if a picture has a hotdog in it. This process can be repeated with any object, whether it is a bird, a plane or even Superman!

    4.4
    (261 Reviews)
    2.19k+ Enrolled
    2 Hours
  • Launch an AI Hotdog Detector as a Serverless Python App
    Beginner Guided Project Python

    Launch an AI Hotdog Detector as a Serverless Python App

    Have you ever wondered if a picture has a hotdog in it or not? Well, no longer do you have to wonder—you can now prove it! With this fun project, you’ll learn how to create and launch a web app in Python that tells you just that: whether or not a picture has a hotdog in it. Let’s settle the great debate once and for all, learning skills that can help you land your next big job or pursue your million dollar idea while you’re at it!

    4.4
    (75 Reviews)
    676 Enrolled
  • PyTorch: Tensor, Dataset and Data Augmentation
    Beginner Course Artificial Intelligence

    PyTorch: Tensor, Dataset and Data Augmentation

    Data preparation plays a crucial role in effectively solving machine learning (ML) problems. PyTorch, a powerful deep learning framework, offers a plethora of tools to make data loading easy. The PyTorch: Tensor, Dataset and Data Augmentation course will provide you with a solid understanding of the basics and core principles of PyTorch, specifically focusing on tensor manipulation, dataset management, and data augmentation techniques.

    4.6
    (142 Reviews)
    1.1k+ Enrolled
    3 Hours
  • Classification with PyTorch
    Beginner Course Artificial Intelligence

    Classification with PyTorch

    Designed for students and enthusiasts, this course equips you with the knowledge and practical skills to build powerful and accurate classification models using PyTorch. It offers a hands-on learning experience, allowing you to apply your knowledge through coding exercises and lessons so by the end of the course, you will possess the skills to build, train, and evaluate classification models using PyTorch. "Classification with PyTorch" is a part of a PyTorch Learning Path, check Prerequisites.

    4.5
    (39 Reviews)
    405 Enrolled
    4 Hours
  • Convolutional Neural Networks with  PyTorch
    Beginner Course Artificial Intelligence

    Convolutional Neural Networks with PyTorch

    In this course you will gain practical skills to tackle real-world image analysis and computer vision challenges using PyTorch. Uncover the power of Convolutional Neural Networks (CNNs) and explore the fundamentals of convolution, max pooling, and convolutional networks. Learn to train your models with GPUs and leverage pre-trained networks for transfer learning. . Note, this course is a part of a PyTorch Learning Path, check Prerequisites Section.

    4.6
    (32 Reviews)
    353 Enrolled
    4 Hours

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