Deep Learning - Computer Vision for Beginners Using PyTorch - Course Introduction

This video tutorial introduces a course on deep learning using the PyTorch framework. It emphasizes the importance of deep learning in future applications and outlines the course's objectives, which include understanding deep learning frameworks, leveraging GPUs, and building models from scratch. The course is designed for software developers, machine learning practitioners, and data scientists with a basic understanding of machine learning and Python. It covers topics like tensors, GPU usage, and PyTorch features, culminating in a computer vision project using the LeNet architecture on the CIFAR-10 dataset.

What are convolutional neural networks used for, according to the text?

What prior knowledge is assumed for learners taking this course?