GB2597608B - Hardware for implementing a deep neural network - Google Patents
Hardware for implementing a deep neural network Download PDFInfo
- Publication number
- GB2597608B GB2597608B GB2110385.8A GB202110385A GB2597608B GB 2597608 B GB2597608 B GB 2597608B GB 202110385 A GB202110385 A GB 202110385A GB 2597608 B GB2597608 B GB 2597608B
- Authority
- GB
- United Kingdom
- Prior art keywords
- implementing
- hardware
- neural network
- deep neural
- deep
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2118550.9A GB2599313B (en) | 2017-09-20 | 2017-09-20 | Hardware for implementing a Deep Neural Network |
GB2110385.8A GB2597608B (en) | 2017-09-20 | 2017-09-20 | Hardware for implementing a deep neural network |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2110385.8A GB2597608B (en) | 2017-09-20 | 2017-09-20 | Hardware for implementing a deep neural network |
GB1715215.8A GB2566702B (en) | 2017-09-20 | 2017-09-20 | Hardware implementation of a deep neural network with variable output data format |
Publications (3)
Publication Number | Publication Date |
---|---|
GB202110385D0 GB202110385D0 (en) | 2021-09-01 |
GB2597608A GB2597608A (en) | 2022-02-02 |
GB2597608B true GB2597608B (en) | 2022-07-20 |
Family
ID=80442756
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB2110385.8A Active GB2597608B (en) | 2017-09-20 | 2017-09-20 | Hardware for implementing a deep neural network |
Country Status (1)
Country | Link |
---|---|
GB (1) | GB2597608B (en) |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170103298A1 (en) * | 2015-10-09 | 2017-04-13 | Altera Corporation | Method and Apparatus for Designing and Implementing a Convolution Neural Net Accelerator |
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2017
- 2017-09-20 GB GB2110385.8A patent/GB2597608B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170103298A1 (en) * | 2015-10-09 | 2017-04-13 | Altera Corporation | Method and Apparatus for Designing and Implementing a Convolution Neural Net Accelerator |
Also Published As
Publication number | Publication date |
---|---|
GB2597608A (en) | 2022-02-02 |
GB202110385D0 (en) | 2021-09-01 |
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