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Janani Ravi
PyTorch is fast emerging as a popular choice for building deep learning models owing to its flexibility, ease-of-use, and built-in support for optimized hardware such as GPUs. Using PyTorch, you can build complex deep learning models, while still using Python...
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PyTorch is fast emerging as a popular choice for building deep learning models owing to its flexibility, ease-of-use, and built-in support for optimized hardware such as GPUs. Using PyTorch, you can build complex deep learning models, while still using Python...
Read more
PyTorch is fast emerging as a popular choice for building deep learning models owing to its flexibility, ease-of-use, and built-in support for optimized hardware such as GPUs. Using PyTorch, you can build complex deep learning models, while still using Python-native support for debugging and visualization. In this course, Building Your First PyTorch Solution, you will gain the ability to get up and running by building your first regression and classification models. First, you will learn how to install PyTorch using pip and conda, and see how to leverage GPU support. Next, you will discover how to hand-craft a linear regression model using a single neuron, by defining the loss function yourself. You will then see how PyTorch optimizers can be used to make this process a lot more seamless. You will understand how different activation functions and dropout can be added to PyTorch neural networks. Finally, you will explore how to build classification models in PyTorch. You will round out the course by extending the PyTorch base module to implement a custom classifier. When you’re finished with this course, you will have the skills and knowledge to move on to installing PyTorch from scratch in a new environment and building models leveraging and customizing various PyTorch abstractions.
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Develops practical skills that are directly applicable in the field of deep learning, including building and debugging models and using optimizers
Emphasizes the practical aspects of PyTorch, enabling learners to quickly apply their knowledge to real-world projects
Covers the fundamentals of PyTorch, making it accessible to beginners in deep learning
Provides step-by-step guidance through building regression and classification models, offering a hands-on learning experience
Leverages industry-standard libraries and tools, ensuring that learners gain skills that are relevant to the field
Taught by experienced instructors, Janani Ravi, who brings expertise in the field of deep learning
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Career center
Learners who complete Building Your First PyTorch Solution will develop knowledge and skills
that may be useful to these careers:
Deep Learning Engineer
Deep Learning Engineer
Deep Learning Engineers are experts in the design and development of deep learning models. They use their knowledge of deep learning algorithms and techniques to develop models that can solve complex problems in areas such as computer vision, natural language processing, and speech recognition. This course can help you build the skills you need to become a Deep Learning Engineer by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which are essential for many deep learning applications.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and deploying machine learning models. They use their knowledge of machine learning algorithms and techniques to develop models that can solve real-world problems. This course can help you build the skills you need to become a Machine Learning Engineer by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which are essential for many machine learning applications.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make better decisions. They use their skills in data analysis techniques and tools to extract meaningful insights from data. This course can help you build the skills you need to become a Data Analyst by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate data analysis tasks and improve the accuracy of data analysis results.
Data Scientist
Data Scientist
Data Scientists are experts in the collection, analysis, and interpretation of data. They use their skills to extract meaningful insights from data and help organizations make better decisions. This course provides a strong foundation in PyTorch, a popular deep learning framework, which is becoming increasingly important for Data Scientists. By learning how to build and train deep learning models, you can increase your value as a Data Scientist and open up new career opportunities.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. They use their knowledge of financial markets and quantitative analysis techniques to develop models that can predict future market behavior. This course can help you build the skills you need to become a Quantitative Analyst by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate financial data analysis tasks and improve the accuracy of financial analysis results.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development techniques to create software that meets the needs of users. This course can help you build the skills you need to become a Software Engineer by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can add value to software products.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They use their knowledge of market research, product development, and marketing to create products that meet the needs of customers. This course can help you build the skills you need to become a Product Manager by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate product development tasks and improve the accuracy of product development decisions.
Business Analyst
Business Analyst
Business Analysts analyze business processes and develop solutions to improve efficiency and effectiveness. They use their knowledge of business analysis techniques and tools to identify problems and develop solutions that meet the needs of stakeholders. This course can help you build the skills you need to become a Business Analyst by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate business analysis tasks and improve the accuracy of business analysis results.
Consultant
Consultant
Consultants provide advice and guidance to organizations on a variety of topics, including business strategy, operations, and technology. They use their knowledge of business consulting techniques and tools to help organizations improve their performance. This course can help you build the skills you need to become a Consultant by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate consulting tasks and improve the accuracy of consulting results.
Research Scientist
Research Scientist
Research Scientists conduct research in a variety of fields, including computer science, engineering, and medicine. They use their knowledge of scientific methods and research techniques to develop new technologies and solve complex problems. This course can help you build the skills you need to become a Research Scientist by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate scientific research tasks and improve the accuracy of scientific research results.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, white papers, and training materials. They use their knowledge of technical writing techniques and tools to create clear and concise documentation that helps users understand and use products and services. This course can help you build the skills you need to become a Technical Writer by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate technical writing tasks and improve the accuracy of technical writing results.
Teacher
Teacher
Teachers develop and deliver lesson plans to help students learn. They use their knowledge of teaching methods and curriculum to create engaging and effective learning experiences. This course can help you build the skills you need to become a Teacher by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate teaching tasks and improve the accuracy of teaching results.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They use their knowledge of project management techniques and tools to ensure that projects are completed on time, within budget, and to the required quality standards. This course can help you build the skills you need to become a Project Manager by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate project management tasks and improve the accuracy of project management results.
Salesperson
Salesperson
Salespeople sell products and services to customers. They use their knowledge of sales techniques and tools to identify customer needs and develop solutions that meet those needs. This course can help you build the skills you need to become a Salesperson by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate sales tasks and improve the accuracy of sales results.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. They use their knowledge of marketing principles and techniques to create campaigns that reach target audiences and achieve marketing objectives. This course may be useful to you as a Marketing Manager by providing you with a hands-on introduction to PyTorch. You will learn how to build and train deep learning models, which can be used to automate marketing tasks and improve the accuracy of marketing results.
For more career information including salaries, visit:
OpenCourser.com/course/30fphr/building
Reading list
We haven't picked any books for this reading list yet.
Provides a hands-on introduction to PyTorch, focusing on practical examples and applications. It good starting point for beginners who want to learn how to use PyTorch.
Provides a comprehensive overview of PyTorch, covering all the key concepts and techniques needed to build and train deep learning models effectively. It also includes practical examples and exercises.
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Provides a comprehensive overview of deep learning, covering the fundamental concepts, algorithms, and applications. It is written by three leading researchers in the field and is considered one of the most authoritative resources on deep learning.
Provides a comprehensive overview of deep learning for finance, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
Provides a comprehensive overview of deep learning for transportation, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
Provides a comprehensive overview of deep learning for natural language processing, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is considered one of the most authoritative resources on deep learning for NLP.
Provides a comprehensive overview of deep learning for materials science, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
Provides a practical guide to deep learning, focusing on the design and implementation of deep learning models. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
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Provides a hands-on introduction to deep learning using the Python programming language. It is written by the creator of the Keras deep learning library and is known for its practical examples and clear explanations.
Provides a comprehensive overview of deep learning for climate science, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
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Provides a comprehensive overview of deep learning for robotics, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
Provides a comprehensive overview of deep learning for genomics, covering the fundamental concepts, algorithms, and applications. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
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作为一本中文著作，深入浅出地讲解了深度学习的原理、算法和应用，适合作为入门或进阶的学习教材。
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Provides a practical guide to deep learning for computer vision, focusing on the design and implementation of deep learning models for image and video processing. It is written by a leading researcher in the field and is known for its clear explanations and hands-on approach.
Gentle introduction to machine learning, suitable for those with no prior knowledge of the field, with a focus on understanding the concepts rather than the math.
Practical guide to machine learning with Python, covering a wide range of topics from data preprocessing to model evaluation.
Provides a balanced treatment of both statistical and machine learning methods, making it accessible to a wide audience.
Classic text on machine learning and statistical pattern recognition, with a focus on Bayesian approaches. The author has won the prestigious Turing Award.
Provides a comprehensive and practical guide to deep learning, including hands-on exercises and real-world examples.
This book, written by the Stanford University professor and former Chief Scientist at Baidu, provides a clear overview of machine learning with lots of diagrams and hands-on practice.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/30fphr/building
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Time
2 hours
Via
Pluralsight
Instructor
Janani Ravi
This course belongs to a
collection
called
Building Deep Learning Solutions with PyTorch. It's comprised of eight courses:
- Foundations of PyTorch
- Building Your First PyTorch Solution (viewing)
- Using PyTorch in the Cloud: PyTorch Playbook
- Image Classification with PyTorch
- Style Transfer with PyTorch
- Natural Language Processing with PyTorch
- Expediting Deep Learning with Transfer Learning: PyTorch Playbook
- Deploying PyTorch Models in Production: PyTorch Playbook
Good to know
Develops practical skills that are directly applicable in the field of deep learning, including building and debugging models and using optimizers
Emphasizes the practical aspects of PyTorch, enabling learners to quickly apply their knowledge to real-world projects
Covers the fundamentals of PyTorch, making it accessible to beginners in deep learning
Provides step-by-step guidance through building regression and classification models, offering a hands-on learning experience
Leverages industry-standard libraries and tools, ensuring that learners gain skills that are relevant to the field
Taught by experienced instructors, Janani Ravi, who brings expertise in the field of deep learning
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