AWS Certified Data Analytics Specialty 2021 - Hands-On! - Deep Learning 101

The video tutorial explores the intersection of deep learning and AWS, explaining the basics of neural networks and their biological inspiration. It covers artificial neurons, deep learning frameworks like TensorFlow and MXNet, and provides a code example. Different types of neural networks, such as CNNs and RNNs, are discussed, along with their applications. The tutorial concludes with guidance on deploying deep learning applications on AWS using EMR and EC2.

What are some popular frameworks for developing deep neural networks?

What is the purpose of recurrent neural networks (RNNs) and how do they differ from feedforward neural networks?

How can deep learning applications be deployed on AWS?