#neural-networks
Transfer learning is a machine learning technique that enables the use of a pre-trained model on a new, related task. This approach has become... Read more
Overfitting is a common problem in neural networks, where the model is trained to fit the training data so closely that it performs poorly on new,... Read more
Artificial intelligence (AI) is the simulation of human intelligence in machines that are programmed to think and act like humans. The idea behind AI... Read more
Yes, there have been several approaches developed for combining multiple modalities in models. One popular approach is multi-modal learning, which... Read more
True artificial intelligence, also known as Strong AI, is the hypothetical concept of AI that possesses human-like cognitive abilities, including... Read more
Artificial Intelligence, commonly referred to as AI, is a branch of computer science that focuses on the development of machines that can perform... Read more
Deep learning is a subfield of artificial intelligence (AI) that involves training artificial neural networks with a large amount of data to learn... Read more
The 1990s was a decade that saw significant advancements in the field of artificial intelligence (AI). Here are some of the most important... Read more
Artificial Intelligence (AI) refers to machines that can perform tasks that typically require human intelligence, such as visual perception, speech... Read more
Artificial Intelligence (AI) has been a hot topic in the world of technology and science for many years now. The question of whether or not we can... Read more