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2. Data-flow diagram - Wikipedia

   en.wikipedia.org/wiki/Data-flow_diagram

   Data-flow diagram. A data-flow diagram is a way of representing a flow of data through a process or a system (usually an information system ). The DFD also provides information about the outputs and inputs of each entity and the process itself. A data-flow diagram has no control flow — there are no decision rules and no loops.

3. Flow-based generative model - Wikipedia

   en.wikipedia.org/wiki/Flow-based_generative_model

   Machine learningand data mining. A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.

4. Directed acyclic graph - Wikipedia

   en.wikipedia.org/wiki/Directed_acyclic_graph

   A directed acyclic graph is a directed graph that has no cycles. [1] [2] [3] A vertex v of a directed graph is said to be reachable from another vertex u when there exists a path that starts at u and ends at v. As a special case, every vertex is considered to be reachable from itself (by a path with zero edges).

5. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Artificial general intelligence – Human-level or stronger AI for a wide range of tasks. Artificial imagination – Artificial simulation of human imagination. Artificial intelligence art – Machine application of knowledge of human aesthetic expressions. Artificial life – Field of study.

6. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...

7. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   DALL·E, DALL·E 2, and DALL·E 3 are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL·E 3 was released natively ...

8. Sankey diagram - Wikipedia

   en.wikipedia.org/wiki/Sankey_diagram

   Sankey diagrams are a data visualisation technique or flow diagram that emphasizes flow/movement/change from one state to another or one time to another, [ 1] in which the width of the arrows is proportional to the flow rate of the depicted extensive property . Sankey diagrams can also visualize the energy accounts, material flow accounts on a ...

9. Feedforward neural network - Wikipedia

   en.wikipedia.org/wiki/Feedforward_neural_network

   A feedforward neural network ( FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers. [ 2] Its flow is uni-directional, meaning that the information in the model flows in only one direction—forward—from the input nodes, through the hidden nodes (if any) and ...