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DeepLearning
  • Home
    • jkEvents
      • JSS mysure
      • OpenSemi
      • Kasanadu School
        • b2
        • c2
        • d2
        • e2
        • QR
      • DSP Summit
        • Signal Flow 1
        • Intro
        • Physical Reasoning
        • Problem Def
        • dsp2
        • dsp1
        • p1
        • oct29y25
      • IBCN 2025 Bangalore
        • McKinsey
        • p1
      • Madras Institute of Technology
        • Interns
        • Microwatt
      • SRM Chennai
        • p1
      • Presentation
      • NIT Trichy
      • IIT Roorkee
      • AI for Managers
        • toolset
        • AI Adoption
        • P1
        • About people
        • Ice Cream
        • Managers
      • Sri Sai Ram College
        • qr
      • Marwadi University FDP
        • qr
        • Problem Def
        • P1
        • P2
        • P3
        • P4
        • P5
        • P6
        • Eye
        • MCQ
        • DT v1
      • Winter Camp 2025
        • IoT Model
        • KG Students
        • Voice Teacher
      • S.A. Engineering College
        • AI ML in BUS
        • Ice Cream Venture
        • Session 2
        • Session 3
        • Session 4
        • Architecture
        • Requirements
      • TechnoJam
        • Phys2DS
      • IEEE Chennai
        • Ref
        • Abstract
        • Intro
        • MBSE Layer
        • weather Forecast
        • aiIoT
        • Pontryagin
        • Sensor classification
        • Sensor Fusion
        • Certify
        • mbse
        • Q1
        • Q2
        • Q2ans
        • Q1ans
        • Q1bans
        • Q3ans
        • Q4ans
        • Q5ans
        • Q6ans
        • Q7ans
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        • Q13ans
        • Q12ans
        • Q11ans
        • Q10ans
        • Q9ans
        • Q8ans
        • Q16ans
      • PRIST University
      • Amrita Vishwa Vidyapeetham
      • IETEevent
      • Baranovichi
        • inference
          • jetsonnano-dltrain
      • Sambhram
        • BO
        • Startups
        • MBA induction Y22
      • CV Raman Global Univ
      • Dayananda Sagar
      • Nirma University -CPS Y22
        • Thanks to Nirma Univ
        • DL in Microgrid
        • AI in Security
        • Pontryagin Duality
        • Daily Inspection
        • Russell
        • IIOT4pointZero
        • Abstract
        • Test
      • PMU
      • IIT-Guwahati
        • Device Making
        • Power Modules
        • Testing Device and package
        • 48V cs 12V
        • CPU+GPU in car
        • mmWave Radar
        • Reference-iitg
      • IIT-Guwahati -L2
        • Physics and Computing
      • GITEX2022
      • NFSU Goa
      • RGUKT
      • IEEEevent
      • Christ University
        • talk1
        • ftbm
        • qr1
      • C-DAC Bangalore
      • Cambridge Institute of Technology
      • ADYPU
        • SE-Introduction
        • SE-Tool Set
          • SysML
        • Requirements
          • CubeSat
          • DOORS and CORE
        • Traceability Matrix
          • Trace Intro
          • Deep Learning Model
          • System Composer
        • Architecture
          • CubeSat Architecture
        • MODEL (MBSE)
          • Entropy
        • Design
          • DO 254
          • DO 178
        • Validation
          • Trace Bi Directions
          • Simulink
          • TASTE
          • NI LabView
          • Pontryagin
          • DOORs and CORE
        • Digital Thread
        • Deployment
          • Pre-Planning
          • Optimal System
          • Trace It
          • Your View
        • Reference
        • Students View
        • Assignment
        • Mock Test
      • Layola Institute of Technology
      • New Horizon
      • JSS Academy of Technical Education
      • Rotary Koramangala
      • KIOT
        • AIoT in Edge
        • FDPJune5Y26
          • p1
          • p2
      • Bangalore Institute of Technology
      • TET-AI
      • AICSSYC
        • MBEinIoT
        • jkQR
        • Oct29Y24
      • PSNA
        • AI and IoT
        • CNN in FPGA
          • qr
    • For +2 Students
      • Data Science
        • Maths for Data Science
          • Week 1 M
          • Week 2 M
          • Week 3 M
          • Week 4 M
        • Statistics for Data Science
          • Week 1 S
          • Week 2 S
          • Week 3 S
          • Week 4 S
        • Computational Thinking
          • Week 1 C
          • Week 2 C
          • Week 3 C
          • Week 4 C
        • English
          • Week 1 E
          • Week 2 E
          • Week 3 E
          • Week 4 E
      • Physics
        • Modern Physics
        • Optics
        • Electricity and Magnetism
        • Thermal Physics
        • Mechanics
        • General
      • Maths
        • Integral calculus
        • Differential calculus
        • Vectors
        • Trigonometry
        • Probability
        • Matrices and Determinants
        • Binomial Theorem
        • Permutation and Combination
        • Logarithms
        • Sequence and Series
        • Quadratic Equations
        • Complex Numbers
      • Chemistry
        • Physical Chemistry
        • Organic Chemistry
        • Inorganic Chemistry
      • Utils
      • Plus 2
    • deep-learning
      • boltzmann-machine
  • DLtrain
    • history
    • Introduction
      • expert2DL
      • Layers
      • OnTable
      • GPT Model
      • BM
      • DLtrain
    • Mathematical Theory
      • Overview
      • Data to Networks
      • Discrete Probability
      • Bayesian Networks
      • Optimisation
        • Primal Dual
      • Boltzmann
        • HebbvsBoltz
        • Reconstruct1
        • Reconstruct2
        • Reconstruct3
        • Reconstruct4
        • Network
        • withICF
      • Restricted Boltzmann machine
      • NN , CNN, RNN Model
      • Digital Twin
      • Large Model
        • Decoder
          • Next Token
          • Training
        • Language Model
        • Alex Model
        • Signal Processing
        • FDT 2
        • FDT 1
        • Flow Information
      • QIS
      • Deep Learning Networks
      • Theory of Learning
      • Unified Model
      • Uncertainty
      • Classification
    • Data Set
      • Data Source
      • Representation
      • TF support
      • PyTorch Support
      • DLtrain Native
      • Local Storage
      • Cloud Storage
    • Tool Set
      • Compute via CUDA
        • Setup Jetson Nano
        • Thread to Warp
        • Practice CUDA core
        • Orin
        • TP core
        • DLA
        • NICKEL
        • NGC
      • Docker
      • DLtrain
        • P6
        • P1
        • P2
        • P3
        • P4
        • P5
      • colab
      • DSP
        • pdf
        • Experiment 1
        • Music Synthesis
          • cs1
        • AI in Signal Processing
        • Pontryagin
        • Error Shape 1
        • Error Shape 3
      • IC Design
        • Paul Mackerras
        • Yosys-FPGA
        • Microwatt
        • microWattEntropy
        • P0
        • Intro
        • Questions
        • Q1
        • Q2
        • Q3
        • Q4
        • Q5
        • Q6
        • Q7
        • Q8
        • Q9
        • Q10
        • Q11
        • Q12
        • Q13
        • Q14
        • Q15
        • Q16
        • Q17
        • Q18
        • Q19
        • Mixed Signal
        • May12Y25
        • FPGA open Source Tool
        • FuseSoc
        • buildroot
        • bitfile
        • infographic
        • LinuxKernel
        • openocd
        • vivadolicense
        • DV
        • ASIC Flow
      • apk
        • go Native
        • install Tool Set
        • Folder Structure
        • keystore
        • App Name
        • Build APK
        • Install APK
      • github Copilot Arm ext
      • Arm Ethos
        • E8 board
        • Step 1
        • Step 2
        • Step 3
        • Step 4
        • Step 5
        • Step 8
        • Step 6
        • Step 7
        • Step 9
        • Step 10
        • Step 11
        • Step 12
        • CNG1
        • Paths
        • U85 Project
        • jlink
    • Train DL Networks
      • DLtrain for DL
      • TensorFlow for DL
      • Save DL Networks
    • Deploy DL Networks
      • Load DL Networks
      • Cloud Native Service
        • CloudIntro
        • Deploy in Cloud
        • Inference via JavaScript
        • Flask Micro Service
      • Edge Native Service
        • J7 App
          • Architecture
          • Infra
          • Host
        • Kanshi
          • P1
          • P2
        • Near Edge
        • Jetson Nano DLtrain
        • Jetson Nano TF Model
    • Tutorial
      • Quick Review on skill
        • gf: AI Model
        • gf : IoT edge security
        • gf : train AI Model
        • gf: deploy AI in Edge
        • gf: Visual Recognition
        • gf: CPU for Auto
      • Deployment Engineer
        • Mistral AI
      • Development Engineer
      • Design Engineer
      • Researcher
    • Silicon Vendors
      • DL Processor Trend
      • AMD FPGA
      • Nvidia
      • IBM Watson VR
        • Watson AI
        • Watson Studio
        • Watson VR service
        • Custom Model
        • vrTrain
        • vrTest
        • vrDeploy
        • vrClient APP
        • vrRecap
        • Power 9 Processor
    • Discussion
      • DC motor
      • IoT sensors
        • SPAN
      • Healthcare
        • Data set in Healthcare
        • Life Style
        • Inference Service
        • Clinical
        • Nurse
        • Audio Signal
        • Device
      • Agriculture
      • IoT in 5G
      • Recommendation
      • AUready
    • deploy-in-edge
      • kanshi
    • Publication
      • onBookDec03Y25
  • More
    • Home
      • jkEvents
        • JSS mysure
        • OpenSemi
        • Kasanadu School
          • b2
          • c2
          • d2
          • e2
          • QR
        • DSP Summit
          • Signal Flow 1
          • Intro
          • Physical Reasoning
          • Problem Def
          • dsp2
          • dsp1
          • p1
          • oct29y25
        • IBCN 2025 Bangalore
          • McKinsey
          • p1
        • Madras Institute of Technology
          • Interns
          • Microwatt
        • SRM Chennai
          • p1
        • Presentation
        • NIT Trichy
        • IIT Roorkee
        • AI for Managers
          • toolset
          • AI Adoption
          • P1
          • About people
          • Ice Cream
          • Managers
        • Sri Sai Ram College
          • qr
        • Marwadi University FDP
          • qr
          • Problem Def
          • P1
          • P2
          • P3
          • P4
          • P5
          • P6
          • Eye
          • MCQ
          • DT v1
        • Winter Camp 2025
          • IoT Model
          • KG Students
          • Voice Teacher
        • S.A. Engineering College
          • AI ML in BUS
          • Ice Cream Venture
          • Session 2
          • Session 3
          • Session 4
          • Architecture
          • Requirements
        • TechnoJam
          • Phys2DS
        • IEEE Chennai
          • Ref
          • Abstract
          • Intro
          • MBSE Layer
          • weather Forecast
          • aiIoT
          • Pontryagin
          • Sensor classification
          • Sensor Fusion
          • Certify
          • mbse
          • Q1
          • Q2
          • Q2ans
          • Q1ans
          • Q1bans
          • Q3ans
          • Q4ans
          • Q5ans
          • Q6ans
          • Q7ans
          • Q15ans
          • Q14ans
          • Q13ans
          • Q12ans
          • Q11ans
          • Q10ans
          • Q9ans
          • Q8ans
          • Q16ans
        • PRIST University
        • Amrita Vishwa Vidyapeetham
        • IETEevent
        • Baranovichi
          • inference
            • jetsonnano-dltrain
        • Sambhram
          • BO
          • Startups
          • MBA induction Y22
        • CV Raman Global Univ
        • Dayananda Sagar
        • Nirma University -CPS Y22
          • Thanks to Nirma Univ
          • DL in Microgrid
          • AI in Security
          • Pontryagin Duality
          • Daily Inspection
          • Russell
          • IIOT4pointZero
          • Abstract
          • Test
        • PMU
        • IIT-Guwahati
          • Device Making
          • Power Modules
          • Testing Device and package
          • 48V cs 12V
          • CPU+GPU in car
          • mmWave Radar
          • Reference-iitg
        • IIT-Guwahati -L2
          • Physics and Computing
        • GITEX2022
        • NFSU Goa
        • RGUKT
        • IEEEevent
        • Christ University
          • talk1
          • ftbm
          • qr1
        • C-DAC Bangalore
        • Cambridge Institute of Technology
        • ADYPU
          • SE-Introduction
          • SE-Tool Set
            • SysML
          • Requirements
            • CubeSat
            • DOORS and CORE
          • Traceability Matrix
            • Trace Intro
            • Deep Learning Model
            • System Composer
          • Architecture
            • CubeSat Architecture
          • MODEL (MBSE)
            • Entropy
          • Design
            • DO 254
            • DO 178
          • Validation
            • Trace Bi Directions
            • Simulink
            • TASTE
            • NI LabView
            • Pontryagin
            • DOORs and CORE
          • Digital Thread
          • Deployment
            • Pre-Planning
            • Optimal System
            • Trace It
            • Your View
          • Reference
          • Students View
          • Assignment
          • Mock Test
        • Layola Institute of Technology
        • New Horizon
        • JSS Academy of Technical Education
        • Rotary Koramangala
        • KIOT
          • AIoT in Edge
          • FDPJune5Y26
            • p1
            • p2
        • Bangalore Institute of Technology
        • TET-AI
        • AICSSYC
          • MBEinIoT
          • jkQR
          • Oct29Y24
        • PSNA
          • AI and IoT
          • CNN in FPGA
            • qr
      • For +2 Students
        • Data Science
          • Maths for Data Science
            • Week 1 M
            • Week 2 M
            • Week 3 M
            • Week 4 M
          • Statistics for Data Science
            • Week 1 S
            • Week 2 S
            • Week 3 S
            • Week 4 S
          • Computational Thinking
            • Week 1 C
            • Week 2 C
            • Week 3 C
            • Week 4 C
          • English
            • Week 1 E
            • Week 2 E
            • Week 3 E
            • Week 4 E
        • Physics
          • Modern Physics
          • Optics
          • Electricity and Magnetism
          • Thermal Physics
          • Mechanics
          • General
        • Maths
          • Integral calculus
          • Differential calculus
          • Vectors
          • Trigonometry
          • Probability
          • Matrices and Determinants
          • Binomial Theorem
          • Permutation and Combination
          • Logarithms
          • Sequence and Series
          • Quadratic Equations
          • Complex Numbers
        • Chemistry
          • Physical Chemistry
          • Organic Chemistry
          • Inorganic Chemistry
        • Utils
        • Plus 2
      • deep-learning
        • boltzmann-machine
    • DLtrain
      • history
      • Introduction
        • expert2DL
        • Layers
        • OnTable
        • GPT Model
        • BM
        • DLtrain
      • Mathematical Theory
        • Overview
        • Data to Networks
        • Discrete Probability
        • Bayesian Networks
        • Optimisation
          • Primal Dual
        • Boltzmann
          • HebbvsBoltz
          • Reconstruct1
          • Reconstruct2
          • Reconstruct3
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