PyTorch 2024: Basics to Cutting-Edge Specialization
Master deep learning with PyTorch through comprehensive training in neural networks, CNNs, GANs, and advanced AI applications.
Master deep learning with PyTorch through comprehensive training in neural networks, CNNs, GANs, and advanced AI applications.
This comprehensive specialization takes learners from PyTorch basics to advanced applications in deep learning. The program covers essential concepts and practical implementations, including neural networks, CNNs, RNNs, GANs, and transformers. Through hands-on projects and real-world applications, students learn to develop, optimize, and deploy sophisticated AI models. The course is regularly updated with cutting-edge techniques and best practices in deep learning.
4.3
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What you'll learn
Master PyTorch fundamentals and deep learning principles
Build and train neural networks from scratch
Implement advanced AI models including CNNs and GANs
Develop solutions for computer vision and NLP tasks
Optimize model performance and handle complex datasets
Deploy deep learning models in production environments
Skills you'll gain
This course includes:
30 Hours PreRecorded video
Access on Mobile
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 courses in this program
User Experience Design Fundamentals
Course 1 · 6 Weeks to complete0
From Wellhead to Refinery: Midstream Oil and Gas Processing
Course 2 · 8 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
Testimonials
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.