Save time and solve complex computation problems easily without using GPU
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Get familiar with PyTorch fundamentals while learning to code a deep neural network in Python
Create any task-oriented extension very quickly with the easy-to-use PyTorch interface
Perform image captioning and grammar parsing using Natural Language Processing
Use a computational graph and run it in parallel in the target GPU
Create unique C++/CUDA extensions for PyTorch that work on CPU and GPU
This comprehensive Dynamic Neural Network Programming with PyTorch curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Dynamic Neural Network Programming with PyTorch course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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