PyTorch deep learning in 7 days / Will Ballard.

Format:

Video

Contributor:

Ballard, Will, speaker, author.

Packt Publishing, film distributor.

Series:

Academic Video Online

Language:

English

Subjects (All):

Machine learning.

Python (Computer program language).

Natural language processing (Computer science).

Genre:

Instructional films.

Physical Description:

1 online resource (130 minutes)

Other Title:

Pytorch deep learning in 7 days

Place of Publication:

Birmingham, England : PACKT Publishing, 2019.

Language Note:

In English.

Original language in English.

System Details:

video file

Summary:

Seven short lessons and a daily exercise, carefully chosen to get you started with PyTorch Deep Learning faster than other courses. About This Video: A systematic guide on Deep Learning to help you build smart applications. Cover core concepts and architectures of Deep Learning systems without getting bogged down in mathematical notation. Solve Machine Learning problems by applying Deep Learning architectures. In Detail: PyTorch is Facebook's latest Python-based framework for Deep Learning. It has the ability to create dynamic Neural Networks on CPUs and GPUs, both with a significantly less code compared to other competing frameworks. PyTorch has a unique interface that makes it as easy to learn as NumPy. This 7-day course is for those who are in a hurry to get started with PyTorch. You will be introduced to the most commonly used Deep Learning models, techniques, and algorithms through PyTorch code. This course is an attempt to break the myth that Deep Learning is complicated and shows you that with the right choice of tools combined with a simple and intuitive explanation of core concepts, Deep Learning is as accessible as any other application development technologies out there. It's a journey from diving deep into the fundamentals to getting acquainted with the advance concepts such as Transfer Learning, Natural Language Processing and implementation of Generative Adversarial Networks. By the end of the course, you will be able to build Deep Learning applications with PyTorch. All the code and supporting files for this course are available on GitHub.This course uses Python 3.7 and Pytorch 1.1; while not the latest version available, it provides relevant and informative content for legacy users of Pytorch.

Participant:

Presenter, Will Ballard.

Notes:

Title from title screen (viewed January 18, 2022).

OCLC:

1099564418