Define artificial intelligence : AI, Machine Learning, Deep Learning Overview

The video provides an overview of AI, machine learning, and deep learning, tracing their origins from the 1950s to the present. It discusses the evolution of statistical models in the 1990s and the emergence of deep learning, particularly in understanding image context. The role of computational power, facilitated by companies like Nvidia and Intel, is highlighted. The video explains how machines interpret multidimensional data using TensorFlow, a framework that handles n-dimensional arrays. It introduces Keras as an abstraction layer on top of TensorFlow, emphasizing its popularity and usage in the developer community.

What was the primary focus of AI research in the 1950s?

• Building neural networks

• Developing intelligent machines

• Creating statistical models

• Understanding image contexts

What challenge helped researchers benchmark their understanding of image contexts?

• COCO

• CIFAR-10

• ImageNet

• MNIST

Which companies were instrumental in providing computational power for deep learning?

• Google and Facebook

• Nvidia and Intel

• Apple and Microsoft

• IBM and Amazon

What is a tensor in the context of TensorFlow?

• A data visualization tool

• A generalization of vectors and matrices

• A type of neural network

• A machine learning algorithm

What is Keras in relation to TensorFlow?

• A hardware component

• A visualization library

• An abstraction layer

• A data processing tool