Introduction to Computer Vision using PyTorch
This course will help you gain a deep understanding of Computer Vision and build advanced CV models using the PyTorch framework. With a carefully curated list of resources and exercises, this course is your guide to becoming a Computer Vision expert. Master the techniques to build convolutional neural networks, and classify images.
Who Should Enroll:
- Professionals: Individuals looking to expand their skill set and leverage CV across different industries.
- Aspiring Students: For those setting out on their journey to master image data analysis and leave a mark in the tech world.
Course curriculum
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1
Introduction to Computer Vision
- Pixel Perfect - Decoding Images
- Understanding a CNN - Convolutional Layer
- Hands on - Image Processing Techniques
- Understanding a CNN - Striding and Pooling
- Understanding a CNN - Pooling Layer
- Understanding AlexNet and Building a CNN Model
- Quiz
Certificate of Completion
Instructor
Apoorv Vishnoi, Head - Training Vertical, Analytics Vidhya
Key Takeaways from the course
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Learn Computer Vision techniques and build real-world CV Models.
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Hands-On Experience: Engage with exercises designed to reinforce your learning and apply concepts in real-world scenarios.