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 are the main differences between AI machine learning and deep learning?

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How did statistical models contribute to the development of AI in the late 1990s?

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What role did GPUs play in the evolution of deep learning?

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Explain the significance of the MNIST dataset in machine learning.

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What is Keras and how does it relate to TensorFlow?

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