June 2024
Advanced
2h 16m
English
on-demand course
PyTorch 2.0 for Deep Learning: Building and Training Neural Networks from Scratch
with Aarohi Singla
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Deep learning is revolutionizing the field of artificial intelligence, enabling machines to learn and make decisions like humans. PyTorch, a powerful and flexible deep learning framework, has emerged as the preferred tool for building and training neural networks. Whether you're an aspiring data scientist, machine learning engineer, or AI enthusiast, this comprehensive course will empower you to harness the full potential of deep learning with PyTorch. Learners will emerge from the course with both practical skills and a solid theoretical foundation in PyTorch for deep learning, positioning them for success in AI-related roles.
What you’ll learn and how to apply it
Upon completing the course, you will:
- Gain practical expertise in using PyTorch for deep learning applications, enabling you to create and manipulate neural networks effectively.
- Develop a strong understanding of core deep learning concepts, allowing you to design and fine-tune neural networks with confidence.
- Acquire hands-on experience in building and training deep neural networks for computer vision (Image Classification and object detection).
- Learn optimization techniques to enhance model performance, including hyperparameter tuning and regularization methods.
- Apply deep learning to real-world problems through practical projects, gaining the skills necessary for AI development roles.
This course is for you because
- You're a professional interested in practical AI development using PyTorch.
- You're a data scientist or researcher conducting AI research and experiments who needs strong PyTorch skills.
- You're a computer vision engineer who wants to use PyTorch effectively.
- You're an AI enthusiast passionate about AI and deep learning who wants to turn your interest into practical skills.
- You're a student or career changer pursuing a career in AI, data science, or machine learning.
Prerequisites
- Basic understanding of AI and deep learning concepts is recommended.
- Proficiency in Python programming is essential.
- Access to the course Github repository.
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