Published on: 2023-08-11 00:59:47
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PyTorch for Deep Learning in 2023: Zero to Mastery is a practical and step-by-step training course for the PyTorch library for deep learning, published by ZeroToMastery Academy. In this training course, you will get to know the process of designing and developing machine learning and deep learning models using the powerful PyTorch library in a completely practical and project-oriented way. Zero Two Master Academy has guaranteed the up-to-date content and scientific and technical accuracy of the courses published on its website, and this course is practically one of the best and most complete courses available in the field of deep learning and the PyTorch framework. In the simplest possible definition, PyTorch is a library and framework based on the Python programming language, which is used in the development of models and systems based on machine learning and deep learning.
PiTorch allows you to develop your own unique algorithms or use widely used algorithms such as artificial neural networks for your various projects. Artificial neural networks have become very widespread today and most of the applications and systems based on artificial intelligence have taken advantage of them. Meta, Tesla and Apple can be mentioned among the most important companies that have used this technology. Apple has exclusively developed advanced computational photography capabilities using existing deep learning algorithms and models.
Publisher: Udemy
Instructors: Andrei Neagoie , Daniel Bourke , Zero To Mastery
Language: English
Level: Intermediate
Number of Lessons: 358
Duration: 52 hours and 14 minutes
Required:
A computer (Linux/Windows/Mac) with an internet connection
Basic Python knowledge
Recommended:
Previous Machine Learning knowledge is recommended, but not required. Daniel provides sufficient supplementary resources to get you up-to-speed
Experience using Jupyter Notebooks or Google Colab is recommended
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 720p
Changes:
Version 2022/10 has increased by 150 lessons and the duration of 22 hours and 19 minutes compared to 2022/7.
Version 2022/11 has increased by 5 lessons and the duration of 1 minutes compared to 2022/10.
Version 2023/6 compared to 2022/11 has increased the number of 29 lessons and the duration of 3 hours and 10 minutes. English subtitles have also been added to the course.
30.5 GB
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