Introduction to Parallel and Distributed Computing in Deep Learning

This video provides an in-depth look at how parallel and distributed computing accelerates deep learning. Discover the basics of data, model, and pipeline parallelism, and understand why these techniques are essential for training large AI models efficiently. We'll also cover popular tools like TensorFlow and PyTorch, real-world applications, and the benefits of scaling deep learning with distributed systems. Perfect for students, developers, and AI enthusiasts looking to enhance their understanding of scalable deep learning.