You can organize the different kinds of deep learning into three different categories depending on the type of data they use: Each of the kinds of deep learning has its own pros and cons.

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types ...

Plant diseases remain a major threat to food security and agricultural productivity, especially in resource-constrained ...

The reason behind this is because deep learning applications are evolving at a fast pace and users are using different data types such as binary, ternary and even custom data types. To catch up with ...

Deep learning is a type of machine learning that uses deep neural networks with multiple layers—often hundreds or thousands—to process data and make decisions like the human brain. Unlike ...