PyTorch Bootcamp | By OpenCV

PyTorch is at the heart of modern AI research and applications, making it an essential skill for anyone entering the field. This bootcamp covers essential deep learning concepts and real-world computer vision applications, ensuring you gain practical experience.

This 7-Hour PyTorch Bootcamp is designed for beginners looking to build a strong foundation in deep learning through hands-on training. And the best part? You’ll be learning directly from Dr. Satya Mallick, CEO of OpenCV—the organization behind the world’s most widely used computer vision library.

Course Overview:

Course Introduction – Overview of PyTorch, deep learning fundamentals, and course objectives.

Module 1: PyTorch for Beginners – Learn PyTorch basics, tensors, and fundamental operations.

Module 2: PyTorch Autograd – Understand automatic differentiation for backpropagation.

Module 3: Multi-Layer Perceptron (MLP) – Implement a fully connected neural network from scratch.

Module 4: Convolutional Neural Networks (CNN) – Build and train CNNs for image classification.

Module 5: Torchvision Pre-Trained Models – Use state-of-the-art pretrained models for vision tasks.

Module 6: Transfer Learning & Fine-Tuning – Adapt pre-trained models for custom applications.

Module 7: Semantic Segmentation – Segment images at the pixel level using deep learning models.

Module 8: Object Detection – Identify and localize objects in images with PyTorch-based models.

Module 9: Instance Segmentation – Detect and segment objects individually in complex scenes.

Module 10: YOLO – Implement You Only Look Once (YOLO), one of the fastest object detection

With step-by-step guidance, this bootcamp ensures you develop a strong grasp of PyTorch and deep learning, preparing you for AI projects in computer vision, image analysis, and beyond.

Start your PyTorch journey today with Dr. Satya Mallick!