Limitations of Deep Learning

Author(s): Roberto Iriondo

Originally published on Towards AI.

Artificial intelligence has achieved incredible feats thanks to deep learning, however, it still falls short of human capabilities.

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February 12, 2019, by Roberto Iriondo — last updated: April 7, 2019

This article is outdated, please take its contents with a grain of salt.

Image source: Machine Learning Memoirs U+007C [11]

Deep learning a subset of machine learning, has delivered super-human accuracy in a variety of practical uses in the past decade. From revolutionizing customer experience, machine translation, language recognition, autonomous vehicles, computer vision, text generation, speech understanding, and a multitude of other AI applications [2].

In contrast to machine learning where an AI agent learns from data based on machine learning algorithms, deep learning is based on a neural network architecture… Read the full blog for free on Medium.

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