Early 1980s: The resurgence of AI

Exclusive, high-quality data for premium business insights.
Post Reply
Rina7RS
Posts: 573
Joined: Mon Dec 23, 2024 3:46 am

Early 1980s: The resurgence of AI

Post by Rina7RS »

Then, we will introduce the application prospects and possible impact of deep learning technology in various industries, as well as the latest progress and cutting-edge technologies of deep learning technology. Finally, we will summarize the development history and major progress of deep learning technology, emphasize its importance and impact on the development of artificial intelligence, so as to encourage people to continue to pay attention to the progress and application of deep learning technology and promote the innovation and development of artificial intelligence technology.

In the early 1980s, artificial intelligence began to recover, and this period was the embryonic stage of neural networks and deep learning technology. Although the deep learning technology we are familiar with iceland mobile database today did not appear during this period, some basic algorithms and technologies of this period laid the foundation for the subsequent development and application of deep learning technology.

In 1986, Geoffrey Hinton, David Rumelhart, and Ronald Williams published a paper on the back-propagation algorithm, which is a key algorithm for training multi-layer neural networks. The back-propagation algorithm iteratively updates the weights and biases of each neuron in the neural network, allowing the network to learn and recognize patterns in input data. The introduction of the back-propagation algorithm provides an effective method for training and optimizing neural networks, and later became an important part of deep learning technology.
Post Reply