GB2601073B - Activation functions for Deep Neural Networks - Google Patents

Activation functions for Deep Neural Networks Download PDF

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Publication number
GB2601073B
GB2601073B GB2201358.5A GB202201358A GB2601073B GB 2601073 B GB2601073 B GB 2601073B GB 202201358 A GB202201358 A GB 202201358A GB 2601073 B GB2601073 B GB 2601073B
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Prior art keywords
neural networks
deep neural
activation functions
activation
functions
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GB2201358.5A
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GB2601073A (en
GB202201358D0 (en
Inventor
Martin Chris
Tsichlas Antonios
Li Yuan
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Imagination Technologies Ltd
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Imagination Technologies Ltd
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Priority to GB2201358.5A priority Critical patent/GB2601073B/en
Priority claimed from GB1718300.5A external-priority patent/GB2568087B/en
Publication of GB202201358D0 publication Critical patent/GB202201358D0/en
Publication of GB2601073A publication Critical patent/GB2601073A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/048Activation functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Neurology (AREA)
  • Image Processing (AREA)
GB2201358.5A 2017-11-03 2017-11-03 Activation functions for Deep Neural Networks Active GB2601073B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB2201358.5A GB2601073B (en) 2017-11-03 2017-11-03 Activation functions for Deep Neural Networks

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB2201358.5A GB2601073B (en) 2017-11-03 2017-11-03 Activation functions for Deep Neural Networks
GB1718300.5A GB2568087B (en) 2017-11-03 2017-11-03 Activation functions for deep neural networks

Publications (3)

Publication Number Publication Date
GB202201358D0 GB202201358D0 (en) 2022-03-16
GB2601073A GB2601073A (en) 2022-05-18
GB2601073B true GB2601073B (en) 2022-08-10

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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240112358A1 (en) * 2022-09-22 2024-04-04 Qualcomm Incorporated Deep learning model for high resolution predictions

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ASHKAN HOSSEINZADEH NAMIN ET AL, "Artificial neural networks activation function HDL coder", ELECTRO/INFORMATION TECHNOLOGY, 2009. EIT '09. IEEE INTERNATIONAL CONFERENCE ON, 1 June 2009, pages 389-392, XP055560834, Piscataway NJ, USA, ISBN:978-1-42443354-4 *

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GB2601073A (en) 2022-05-18
GB202201358D0 (en) 2022-03-16

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