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DL in IoT Edge
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DeepLearning
Home
Physics in DL
Boltzmann Machine
Digital Twin
jkEvents
PRIST University
IETEevent
Baranovichi
Model
TF Model
DLtrain Model
Data-Set
IBM Cloud Object Storage
MNIST++
Train DL Model
CoLab
TF On Prime CPU
Build DLtrain in Power 9
Build DLtrain for jetson Nano
Build DLtrain in Docker x86
DLtrain in Windows M/C
DLtrain On Prime CPU
Save and Load
Inference
Flask Micro Service
Inference via JavaScript
Deploy in Cloud
Android Phone
Jetson Nano TF Model
Jetson Nano DLtrain
Near Edge
DL Model Update
Sambhram
Digital Twin
Edge Ready
BO
Startups
CV Raman Global Univ
Thanks
Microgrid
AI in Monitoring MG
IoT sensors
Interpret Measurements
Edge in Microgrid
DLtrain in Jetson Nano
AI in Smart phone
Deploy AI in Sensors
Thank You
jkhome
Share
Edge Infra
Compute via CUDA
Vector Add in CUDA
MAT Mul in CUDA
tst1.py
tst2.py
tst3.py
tst4.py
Reference
DL in IoT Edge
Jetson Nano
Setting Up
Resources
Installation
First Boot
JetPack
IO
Internet Access via Wi-Fi
RDP / SSH
git
nvcc
cmake 3.14
Python
Quick Demo
Hello World
Kernel Update
J7 App
Android SDK
Android NDK
J7 Source Code
Credential Update
Build
Generate APK
Install APK in Phone
Using J7
IBM Watson VR
Watson AI
Watson Studio
Watson VR service
Custom Model
Train
Test
Deploy
Client APP
Recap
IoTin5G
Part 1
Part 2
Part 3
Open Power
A2O
Open-CE
TL-V
Applications
Agriculture
Gesture Recognition
Nalla Paru
Ventilator
Biocontainment
Auscultation
Nurse
IoT Edge
More
Home
Physics in DL
Boltzmann Machine
Digital Twin
jkEvents
PRIST University
IETEevent
Baranovichi
Model
TF Model
DLtrain Model
Data-Set
IBM Cloud Object Storage
MNIST++
Train DL Model
CoLab
TF On Prime CPU
Build DLtrain in Power 9
Build DLtrain for jetson Nano
Build DLtrain in Docker x86
DLtrain in Windows M/C
DLtrain On Prime CPU
Save and Load
Inference
Flask Micro Service
Inference via JavaScript
Deploy in Cloud
Android Phone
Jetson Nano TF Model
Jetson Nano DLtrain
Near Edge
DL Model Update
Sambhram
Digital Twin
Edge Ready
BO
Startups
CV Raman Global Univ
Thanks
Microgrid
AI in Monitoring MG
IoT sensors
Interpret Measurements
Edge in Microgrid
DLtrain in Jetson Nano
AI in Smart phone
Deploy AI in Sensors
Thank You
jkhome
Share
Edge Infra
Compute via CUDA
Vector Add in CUDA
MAT Mul in CUDA
tst1.py
tst2.py
tst3.py
tst4.py
Reference
DL in IoT Edge
Jetson Nano
Setting Up
Resources
Installation
First Boot
JetPack
IO
Internet Access via Wi-Fi
RDP / SSH
git
nvcc
cmake 3.14
Python
Quick Demo
Hello World
Kernel Update
J7 App
Android SDK
Android NDK
J7 Source Code
Credential Update
Build
Generate APK
Install APK in Phone
Using J7
IBM Watson VR
Watson AI
Watson Studio
Watson VR service
Custom Model
Train
Test
Deploy
Client APP
Recap
IoTin5G
Part 1
Part 2
Part 3
Open Power
A2O
Open-CE
TL-V
Applications
Agriculture
Gesture Recognition
Nalla Paru
Ventilator
Biocontainment
Auscultation
Nurse
IoT Edge
Visual Recognition in Agriculture
IoT in 5G Network – Research by Jayakumar. S PhD – Part 3 - TECHx Media
Innovation in creating optimal yet robust models by using deep learning convolutional neural network has led to low cost “customized
Case Study: Monitor Tomato Farm
“Customization ready Visual Recognition Micro service”
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