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Gaspard Baye
In this 1-hour long project-based course, you will learn how to use simple commands to create and manipulate files and folders, perform multiple complex tasks using one simple command, use the superuser to perform high privilege operations.
Register for this course and see more details by visiting:
OpenCourser.com/course/250hci/the
What's inside
Syllabus
Project Overview
By the end of this project, you will learn what PyTorch is and why we use it. You will also learn how to prepare your coding environment. You will learn how to initialize and use tensors. You will know how to use the PyTorch neural network module as well as Pytorch optimizers. You will also know the basic Machine learning training loop with PyTorch and many other useful PyTorch modules.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores simple and complex Linux commands to automate systems operations
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Reviews summary
Pytorch basics introduction
According to students, this course introduces learners to PyTorch basics and commands with videos and instructions. While clear, the content is often basic and light with some perceived inaccuracies. Students with prior knowledge of ML and PyTorch may find the content insufficient.
Helpful guide for installing a PyTorch environment.
"This guided project does :
- teach how to install a PyTorch environment"
Course instruction is described as clear.
"Clear instruction, but light on content."
Insufficient depth for learners with prior knowledge.
"If you know about ML but not pytorch, this doesn't cover enough to get you on your way."
Some perceived ML inaccuracies with definitions being incomplete or incorrect.
"I heard a number of ML innacuracies."
Content is described as light and basic.
"Clear instruction, but light on content."
"Very short and basic introduction to Torch main commands."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in The Pytorch basics you need to start your ML projects with these
activities:
Read "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann
Show steps
Gain a comprehensive understanding of PyTorch by reading a book that covers the core concepts and advanced techniques.
View
Deep Learning with PyTorch: Build, train, and...
on Amazon
Show steps
-
Purchase or borrow the book
-
Read the book thoroughly, taking notes and highlighting important concepts
-
Complete the exercises and examples provided in the book
-
Discuss the book with others or join online forums for further insights
Follow PyTorch video tutorials
Show steps
Expand your knowledge by following online video tutorials that cover advanced PyTorch concepts or techniques.
Browse courses on
Deep Learning
Show steps
-
Find reputable video tutorials on PyTorch
-
Watch the videos and take notes
-
Practice the concepts and techniques demonstrated in the videos
-
Ask questions or seek clarification if needed
Solve PyTorch coding challenges
Show steps
Reinforce your understanding by practicing PyTorch coding skills through online challenges or exercises.
Browse courses on
Deep Learning
Show steps
-
Find coding challenges or exercises online
-
Attempt to solve the challenges or exercises
-
Review your solutions and identify areas for improvement
-
Seek help or guidance if needed
Five other activities
Expand to see all activities and additional details
Show all eight activities
Mentor other PyTorch learners
Show steps
Consolidate your understanding by mentoring other learners and helping them overcome challenges.
Browse courses on
Deep Learning
Show steps
-
Identify opportunities to mentor others, such as online forums or study groups
-
Provide guidance, support, and encouragement to other learners
-
Review your own understanding of PyTorch through the process of teaching others
-
Seek feedback from your mentees to improve your mentoring skills
Attend a PyTorch workshop
Show steps
Enhance your learning through hands-on experience and networking at a PyTorch workshop or conference.
Browse courses on
Deep Learning
Show steps
-
Find and register for a reputable PyTorch workshop or conference
-
Attend the workshop or conference and actively participate in sessions
-
Network with other attendees and industry experts
-
Follow up on any connections or opportunities that arise
Create a PyTorch project
Show steps
Demonstrate your understanding of PyTorch by creating a small project that uses the concepts covered in the course.
Browse courses on
Deep Learning
Show steps
-
Define the project scope and goals
-
Gather the necessary data and resources
-
Design and implement the PyTorch model
-
Train and evaluate the model
Develop a PyTorch tutorial
Show steps
Enhance your understanding by creating a tutorial that explains a specific PyTorch concept or technique.
Browse courses on
Deep Learning
Show steps
-
Choose a topic and gather the necessary information
-
Write the tutorial content, including code examples and explanations
-
Review and edit the tutorial for clarity and accuracy
-
Publish the tutorial online or share it with others
Create a PyTorch resources compilation
Show steps
Enhance your learning and contribute to the PyTorch community by compiling a collection of valuable resources.
Browse courses on
Deep Learning
Show steps
-
Gather and organize relevant PyTorch resources, such as tutorials, articles, and code examples
-
Annotate the resources with brief descriptions and tags
-
Share the compilation with other learners through a blog post, GitHub repository, or other platform
-
Update and maintain the compilation over time to ensure its relevance
Read "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann
Show steps
Gain a comprehensive understanding of PyTorch by reading a book that covers the core concepts and advanced techniques.
View
Deep Learning with PyTorch: Build, train, and...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book
- Read the book thoroughly, taking notes and highlighting important concepts
- Complete the exercises and examples provided in the book
- Discuss the book with others or join online forums for further insights
Follow PyTorch video tutorials
Show steps
Expand your knowledge by following online video tutorials that cover advanced PyTorch concepts or techniques.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find reputable video tutorials on PyTorch
- Watch the videos and take notes
- Practice the concepts and techniques demonstrated in the videos
- Ask questions or seek clarification if needed
Solve PyTorch coding challenges
Show steps
Reinforce your understanding by practicing PyTorch coding skills through online challenges or exercises.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find coding challenges or exercises online
- Attempt to solve the challenges or exercises
- Review your solutions and identify areas for improvement
- Seek help or guidance if needed
Five other activities
Expand to see all activities and additional details
Show all eight activities
Mentor other PyTorch learners
Show steps
Consolidate your understanding by mentoring other learners and helping them overcome challenges.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify opportunities to mentor others, such as online forums or study groups
- Provide guidance, support, and encouragement to other learners
- Review your own understanding of PyTorch through the process of teaching others
- Seek feedback from your mentees to improve your mentoring skills
Attend a PyTorch workshop
Show steps
Enhance your learning through hands-on experience and networking at a PyTorch workshop or conference.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find and register for a reputable PyTorch workshop or conference
- Attend the workshop or conference and actively participate in sessions
- Network with other attendees and industry experts
- Follow up on any connections or opportunities that arise
Create a PyTorch project
Show steps
Demonstrate your understanding of PyTorch by creating a small project that uses the concepts covered in the course.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Define the project scope and goals
- Gather the necessary data and resources
- Design and implement the PyTorch model
- Train and evaluate the model
Develop a PyTorch tutorial
Show steps
Enhance your understanding by creating a tutorial that explains a specific PyTorch concept or technique.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Choose a topic and gather the necessary information
- Write the tutorial content, including code examples and explanations
- Review and edit the tutorial for clarity and accuracy
- Publish the tutorial online or share it with others
Create a PyTorch resources compilation
Show steps
Enhance your learning and contribute to the PyTorch community by compiling a collection of valuable resources.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Gather and organize relevant PyTorch resources, such as tutorials, articles, and code examples
- Annotate the resources with brief descriptions and tags
- Share the compilation with other learners through a blog post, GitHub repository, or other platform
- Update and maintain the compilation over time to ensure its relevance
Career center
Learners who complete The Pytorch basics you need to start your ML projects will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use machine learning to extract insights from data. This course provides the foundation for understanding and using PyTorch, an open source machine learning library. With the knowledge and skills gained in this course, you will be able to build and train your own machine learning models, a key skill for Data Scientists.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course can help you gain the necessary skills to become a Machine Learning Engineer. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you gain the skills needed to become a Software Engineer. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can help you gain the skills needed to become a Data Analyst. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help you gain the skills needed to become a Quantitative Analyst. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Business Analyst
Business Analyst
Business Analysts use data to analyze business processes and identify areas for improvement. This course can help you gain the skills needed to become a Business Analyst. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Product Manager
Product Manager
Product Managers oversee the development and launch of new products. This course can help you gain the skills needed to become a Product Manager. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Project Manager
Project Manager
Project Managers plan and execute projects. This course can help you gain the skills needed to become a Project Manager. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Technical Writer
Technical Writer
Technical Writers create documentation for software and hardware products. This course can help you gain the skills needed to become a Technical Writer. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design computer systems. This course can help you gain the skills needed to become a Systems Analyst. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course can help you gain the skills needed to become a Database Administrator. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Computer Programmer
Computer Programmer
Computer Programmers write and maintain computer programs. This course can help you gain the skills needed to become a Computer Programmer. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Network Administrator
Network Administrator
Network Administrators manage and maintain computer networks. This course can help you gain the skills needed to become a Network Administrator. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Computer Support Specialist
Computer Support Specialist
Computer Support Specialists provide technical support to computer users. This course can help you gain the skills needed to become a Computer Support Specialist. You will learn how to use PyTorch to create and manipulate files and folders, perform multiple complex tasks using one simple command, and use the superuser to perform high privilege operations.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may help you gain the skills needed to become an Information Security Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/250hci/the
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
The Pytorch basics you need to start your ML projects .
A classic textbook on pattern recognition and machine learning, covering a wide range of topics and techniques. A valuable reference for those interested in a deeper understanding of machine learning.
Save
An advanced textbook on deep learning, covering a wide range of topics and techniques. A valuable reference for those interested in a deeper understanding of deep learning.
A comprehensive and widely-used textbook on AI, covering a range of topics including machine learning. A valuable reference and offers a broader perspective on AI.
Teaches you how to design and implement machine learning models using PyTorch, while emphasizing practical aspects of training, evaluating, and deploying your models.
Provides a concise and accessible introduction to machine learning concepts. A useful refresher or as background material for this course.
Covers a range of NLP tasks using PyTorch and provides hands-on tutorials. A valuable supplemental resource for applying your PyTorch skills to NLP.
Covers a range of TensorFlow-based projects, including a helpful introduction to PyTorch. Useful if you wish to work with TensorFlow, but the PyTorch-specific parts of this book would be helpful for this course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/250hci/the
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