- Promoted by: Anonymous
- Platform: Udemy
- Category: Software Development Tools
- Language: English
- Instructor: Vivian Aranha
- Duration: 2 hour(s) 30 minute(s)
- Student(s): 5,719
- Rate 4.1 Of 5 From 12 Votes
- Expires on: 2025/01/17
-
Price:
49.990
From Basics to Advanced Deep Learning Training
Unlock your potential with a Free coupon code
for the "Mastering PyTorch" course by Vivian Aranha on Udemy.
This course, boasting a 4.1-star rating from 12 reviews
and with 5,719 enrolled students, provides comprehensive training in Software Development Tools.
Spanning approximately
2 hour(s)
30 minute(s)
, this course is delivered in English
and we updated the information on January 16, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
The "Mastering PyTorch: From Basics to Advanced Deep Learning Training" course is a complete learning journey designed for beginners and professionals aiming to excel in artificial intelligence and deep learning. This course begins with the fundamentals of PyTorch, covering essential topics such as tensor operations, automatic differentiation, and building neural networks from scratch. Learners will gain a deep understanding of how PyTorch’s dynamic computation graph works, enabling flexible model creation and troubleshooting.
As the course progresses, students will explore advanced topics, including complex neural network architectures such as CNNs, RNNs, and Transformers. It also dives into transfer learning, custom layers, loss functions, and model optimization techniques. Learners will practice building real-world projects, such as image classifiers, NLP-based sentiment analyzers, and GAN-powered applications.
The course places a strong emphasis on hands-on implementation, offering step-by-step exercises, coding challenges, and projects that reinforce key concepts. Additionally, learners will explore cutting-edge techniques like distributed training, cloud deployment, and integration with popular libraries.
By the end of the course, learners will be proficient in designing, building, and deploying AI models using PyTorch. They will also be equipped to contribute to open-source projects and pursue careers as AI engineers, data scientists, or ML researchers in the growing field of deep learning.
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