Deep Learning Breakthrough

Period: 2010–2015

Summary

The deep learning breakthrough occurred during the early 2010s, when advancements in neural network architectures and increased computational power enabled significant improvements in machine learning. Key moments include the development of AlexNet, which revolutionized image recognition, and the rise of frameworks like TensorFlow. This era marked the transition of artificial intelligence from academic exploration to widespread application, fundamentally reshaping industries and societal interactions with technology.