Enviar búsqueda
Cargar
TensorFlow Tutorial Part2
•
Descargar como PPTX, PDF
•
5 recomendaciones
•
1,065 vistas
Sungjoon Choi
Seguir
Image Classification using Custom Dataset (No More MNIST!)
Leer menos
Leer más
Ingeniería
Denunciar
Compartir
Denunciar
Compartir
1 de 29
Descargar ahora
Recomendados
TensorFlow Tutorial Part1
TensorFlow Tutorial Part1
Sungjoon Choi
Deep Learning in Computer Vision
Deep Learning in Computer Vision
Sungjoon Choi
RNN and its applications
RNN and its applications
Sungjoon Choi
CNN Tutorial
CNN Tutorial
Sungjoon Choi
CNNs: from the Basics to Recent Advances
CNNs: from the Basics to Recent Advances
Dmytro Mishkin
Convolutional neural networks for image classification — evidence from Kaggle...
Convolutional neural networks for image classification — evidence from Kaggle...
Dmytro Mishkin
Deep Learning Tutorial
Deep Learning Tutorial
Ligeng Zhu
Transfer Learning (D2L4 Insight@DCU Machine Learning Workshop 2017)
Transfer Learning (D2L4 Insight@DCU Machine Learning Workshop 2017)
Universitat Politècnica de Catalunya
Recomendados
TensorFlow Tutorial Part1
TensorFlow Tutorial Part1
Sungjoon Choi
Deep Learning in Computer Vision
Deep Learning in Computer Vision
Sungjoon Choi
RNN and its applications
RNN and its applications
Sungjoon Choi
CNN Tutorial
CNN Tutorial
Sungjoon Choi
CNNs: from the Basics to Recent Advances
CNNs: from the Basics to Recent Advances
Dmytro Mishkin
Convolutional neural networks for image classification — evidence from Kaggle...
Convolutional neural networks for image classification — evidence from Kaggle...
Dmytro Mishkin
Deep Learning Tutorial
Deep Learning Tutorial
Ligeng Zhu
Transfer Learning (D2L4 Insight@DCU Machine Learning Workshop 2017)
Transfer Learning (D2L4 Insight@DCU Machine Learning Workshop 2017)
Universitat Politècnica de Catalunya
Introduction to Convolutional Neural Networks
Introduction to Convolutional Neural Networks
Hannes Hapke
Electricity price forecasting with Recurrent Neural Networks
Electricity price forecasting with Recurrent Neural Networks
Taegyun Jeon
Modeling Electronic Health Records with Recurrent Neural Networks
Modeling Electronic Health Records with Recurrent Neural Networks
Josh Patterson
Convolutional Neural Networks (CNN)
Convolutional Neural Networks (CNN)
Gaurav Mittal
Hands-on Deep Learning in Python
Hands-on Deep Learning in Python
Imry Kissos
Convolutional Neural Network
Convolutional Neural Network
Junho Cho
Modern Convolutional Neural Network techniques for image segmentation
Modern Convolutional Neural Network techniques for image segmentation
Gioele Ciaparrone
Synthetic dialogue generation with Deep Learning
Synthetic dialogue generation with Deep Learning
S N
Image classification using cnn
Image classification using cnn
Debarko De
Lecture 29 Convolutional Neural Networks - Computer Vision Spring2015
Lecture 29 Convolutional Neural Networks - Computer Vision Spring2015
Jia-Bin Huang
Convolutional Neural Networks : Popular Architectures
Convolutional Neural Networks : Popular Architectures
ananth
Optimization for Deep Networks (D2L1 2017 UPC Deep Learning for Computer Vision)
Optimization for Deep Networks (D2L1 2017 UPC Deep Learning for Computer Vision)
Universitat Politècnica de Catalunya
ujava.org Deep Learning with Convolutional Neural Network
ujava.org Deep Learning with Convolutional Neural Network
신동 강
CNN
CNN
Ukjae Jeong
TypeScript and Deep Learning
TypeScript and Deep Learning
Oswald Campesato
Deep Learning - RNN and CNN
Deep Learning - RNN and CNN
Pradnya Saval
RNN & LSTM: Neural Network for Sequential Data
RNN & LSTM: Neural Network for Sequential Data
Yao-Chieh Hu
Lecture 7: Recurrent Neural Networks
Lecture 7: Recurrent Neural Networks
Sang Jun Lee
Case Study of Convolutional Neural Network
Case Study of Convolutional Neural Network
NamHyuk Ahn
Introduction to CNN
Introduction to CNN
Shuai Zhang
Object Detection Methods using Deep Learning
Object Detection Methods using Deep Learning
Sungjoon Choi
Semantic Segmentation Methods using Deep Learning
Semantic Segmentation Methods using Deep Learning
Sungjoon Choi
Más contenido relacionado
La actualidad más candente
Introduction to Convolutional Neural Networks
Introduction to Convolutional Neural Networks
Hannes Hapke
Electricity price forecasting with Recurrent Neural Networks
Electricity price forecasting with Recurrent Neural Networks
Taegyun Jeon
Modeling Electronic Health Records with Recurrent Neural Networks
Modeling Electronic Health Records with Recurrent Neural Networks
Josh Patterson
Convolutional Neural Networks (CNN)
Convolutional Neural Networks (CNN)
Gaurav Mittal
Hands-on Deep Learning in Python
Hands-on Deep Learning in Python
Imry Kissos
Convolutional Neural Network
Convolutional Neural Network
Junho Cho
Modern Convolutional Neural Network techniques for image segmentation
Modern Convolutional Neural Network techniques for image segmentation
Gioele Ciaparrone
Synthetic dialogue generation with Deep Learning
Synthetic dialogue generation with Deep Learning
S N
Image classification using cnn
Image classification using cnn
Debarko De
Lecture 29 Convolutional Neural Networks - Computer Vision Spring2015
Lecture 29 Convolutional Neural Networks - Computer Vision Spring2015
Jia-Bin Huang
Convolutional Neural Networks : Popular Architectures
Convolutional Neural Networks : Popular Architectures
ananth
Optimization for Deep Networks (D2L1 2017 UPC Deep Learning for Computer Vision)
Optimization for Deep Networks (D2L1 2017 UPC Deep Learning for Computer Vision)
Universitat Politècnica de Catalunya
ujava.org Deep Learning with Convolutional Neural Network
ujava.org Deep Learning with Convolutional Neural Network
신동 강
CNN
CNN
Ukjae Jeong
TypeScript and Deep Learning
TypeScript and Deep Learning
Oswald Campesato
Deep Learning - RNN and CNN
Deep Learning - RNN and CNN
Pradnya Saval
RNN & LSTM: Neural Network for Sequential Data
RNN & LSTM: Neural Network for Sequential Data
Yao-Chieh Hu
Lecture 7: Recurrent Neural Networks
Lecture 7: Recurrent Neural Networks
Sang Jun Lee
Case Study of Convolutional Neural Network
Case Study of Convolutional Neural Network
NamHyuk Ahn
Introduction to CNN
Introduction to CNN
Shuai Zhang
La actualidad más candente
(20)
Introduction to Convolutional Neural Networks
Introduction to Convolutional Neural Networks
Electricity price forecasting with Recurrent Neural Networks
Electricity price forecasting with Recurrent Neural Networks
Modeling Electronic Health Records with Recurrent Neural Networks
Modeling Electronic Health Records with Recurrent Neural Networks
Convolutional Neural Networks (CNN)
Convolutional Neural Networks (CNN)
Hands-on Deep Learning in Python
Hands-on Deep Learning in Python
Convolutional Neural Network
Convolutional Neural Network
Modern Convolutional Neural Network techniques for image segmentation
Modern Convolutional Neural Network techniques for image segmentation
Synthetic dialogue generation with Deep Learning
Synthetic dialogue generation with Deep Learning
Image classification using cnn
Image classification using cnn
Lecture 29 Convolutional Neural Networks - Computer Vision Spring2015
Lecture 29 Convolutional Neural Networks - Computer Vision Spring2015
Convolutional Neural Networks : Popular Architectures
Convolutional Neural Networks : Popular Architectures
Optimization for Deep Networks (D2L1 2017 UPC Deep Learning for Computer Vision)
Optimization for Deep Networks (D2L1 2017 UPC Deep Learning for Computer Vision)
ujava.org Deep Learning with Convolutional Neural Network
ujava.org Deep Learning with Convolutional Neural Network
CNN
CNN
TypeScript and Deep Learning
TypeScript and Deep Learning
Deep Learning - RNN and CNN
Deep Learning - RNN and CNN
RNN & LSTM: Neural Network for Sequential Data
RNN & LSTM: Neural Network for Sequential Data
Lecture 7: Recurrent Neural Networks
Lecture 7: Recurrent Neural Networks
Case Study of Convolutional Neural Network
Case Study of Convolutional Neural Network
Introduction to CNN
Introduction to CNN
Destacado
Object Detection Methods using Deep Learning
Object Detection Methods using Deep Learning
Sungjoon Choi
Semantic Segmentation Methods using Deep Learning
Semantic Segmentation Methods using Deep Learning
Sungjoon Choi
Deep Learning in Robotics
Deep Learning in Robotics
Sungjoon Choi
Robot, Learning From Data
Robot, Learning From Data
Sungjoon Choi
Inverse Reinforcement Learning Algorithms
Inverse Reinforcement Learning Algorithms
Sungjoon Choi
Kernel, RKHS, and Gaussian Processes
Kernel, RKHS, and Gaussian Processes
Sungjoon Choi
Word Embeddings - Introduction
Word Embeddings - Introduction
Christian Perone
텐서플로 걸음마 (TensorFlow Tutorial)
텐서플로 걸음마 (TensorFlow Tutorial)
Taejun Kim
TensorFlow
TensorFlow
Sang-Houn Choi
텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016
텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016
Taehoon Kim
Neural Networks with Google TensorFlow
Neural Networks with Google TensorFlow
Darshan Patel
Deep Learning - Convolutional Neural Networks - Architectural Zoo
Deep Learning - Convolutional Neural Networks - Architectural Zoo
Christian Perone
Deep Learning - Convolutional Neural Networks
Deep Learning - Convolutional Neural Networks
Christian Perone
Robot Era
Robot Era
pintailfp7
Recent Trends in Neural Net Policy Learning
Recent Trends in Neural Net Policy Learning
Sungjoon Choi
Connection between Bellman equation and Markov Decision Processes
Connection between Bellman equation and Markov Decision Processes
Sungjoon Choi
Value iteration networks
Value iteration networks
Sungjoon Choi
"Semantic Segmentation for Scene Understanding: Algorithms and Implementation...
"Semantic Segmentation for Scene Understanding: Algorithms and Implementation...
Edge AI and Vision Alliance
Scene classification using Convolutional Neural Networks - Jayani Withanawasam
Scene classification using Convolutional Neural Networks - Jayani Withanawasam
WithTheBest
Differentiable Neural Computer
Differentiable Neural Computer
Taehoon Kim
Destacado
(20)
Object Detection Methods using Deep Learning
Object Detection Methods using Deep Learning
Semantic Segmentation Methods using Deep Learning
Semantic Segmentation Methods using Deep Learning
Deep Learning in Robotics
Deep Learning in Robotics
Robot, Learning From Data
Robot, Learning From Data
Inverse Reinforcement Learning Algorithms
Inverse Reinforcement Learning Algorithms
Kernel, RKHS, and Gaussian Processes
Kernel, RKHS, and Gaussian Processes
Word Embeddings - Introduction
Word Embeddings - Introduction
텐서플로 걸음마 (TensorFlow Tutorial)
텐서플로 걸음마 (TensorFlow Tutorial)
TensorFlow
TensorFlow
텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016
텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016
Neural Networks with Google TensorFlow
Neural Networks with Google TensorFlow
Deep Learning - Convolutional Neural Networks - Architectural Zoo
Deep Learning - Convolutional Neural Networks - Architectural Zoo
Deep Learning - Convolutional Neural Networks
Deep Learning - Convolutional Neural Networks
Robot Era
Robot Era
Recent Trends in Neural Net Policy Learning
Recent Trends in Neural Net Policy Learning
Connection between Bellman equation and Markov Decision Processes
Connection between Bellman equation and Markov Decision Processes
Value iteration networks
Value iteration networks
"Semantic Segmentation for Scene Understanding: Algorithms and Implementation...
"Semantic Segmentation for Scene Understanding: Algorithms and Implementation...
Scene classification using Convolutional Neural Networks - Jayani Withanawasam
Scene classification using Convolutional Neural Networks - Jayani Withanawasam
Differentiable Neural Computer
Differentiable Neural Computer
Similar a TensorFlow Tutorial Part2
StackNet Meta-Modelling framework
StackNet Meta-Modelling framework
Sri Ambati
Getting your hands dirty with deep learning in java
Getting your hands dirty with deep learning in java
Dave Snowdon
Training course lect3
Training course lect3
Noor Dhiya
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
multimediaeval
Deep Learning for Computer Vision - PyconDE 2017
Deep Learning for Computer Vision - PyconDE 2017
Alex Conway
Deep learning for molecules, introduction to chainer chemistry
Deep learning for molecules, introduction to chainer chemistry
Kenta Oono
[PR12] PR-036 Learning to Remember Rare Events
[PR12] PR-036 Learning to Remember Rare Events
Taegyun Jeon
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
IRJET Journal
Final training course
Final training course
Noor Dhiya
Deep Learning Enabled Question Answering System to Automate Corporate Helpdesk
Deep Learning Enabled Question Answering System to Automate Corporate Helpdesk
Saurabh Saxena
A brief overview of java frameworks
A brief overview of java frameworks
MD Sayem Ahmed
Thesis Defense (Gwendal DANIEL) - Nov 2017
Thesis Defense (Gwendal DANIEL) - Nov 2017
Gwendal Daniel
Shifu plugin-trainer and pmml-adapter
Shifu plugin-trainer and pmml-adapter
Lisa Hua
Keras on tensorflow in R & Python
Keras on tensorflow in R & Python
Longhow Lam
Extending Complex Event Processing to Graph-structured Information
Extending Complex Event Processing to Graph-structured Information
Antonio Vallecillo
How to train your dragon
How to train your dragon
Bol.com Techlab
Convolutional neural network
Convolutional neural network
Yan Xu
MLConf 2013: Metronome and Parallel Iterative Algorithms on YARN
MLConf 2013: Metronome and Parallel Iterative Algorithms on YARN
Josh Patterson
Comparison Between Levenberg-Marquardt And Scaled Conjugate Gradient Training...
Comparison Between Levenberg-Marquardt And Scaled Conjugate Gradient Training...
CSCJournals
mlp10-sem2.pdf
mlp10-sem2.pdf
ShamKumar65
Similar a TensorFlow Tutorial Part2
(20)
StackNet Meta-Modelling framework
StackNet Meta-Modelling framework
Getting your hands dirty with deep learning in java
Getting your hands dirty with deep learning in java
Training course lect3
Training course lect3
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
Deep Learning for Computer Vision - PyconDE 2017
Deep Learning for Computer Vision - PyconDE 2017
Deep learning for molecules, introduction to chainer chemistry
Deep learning for molecules, introduction to chainer chemistry
[PR12] PR-036 Learning to Remember Rare Events
[PR12] PR-036 Learning to Remember Rare Events
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Final training course
Final training course
Deep Learning Enabled Question Answering System to Automate Corporate Helpdesk
Deep Learning Enabled Question Answering System to Automate Corporate Helpdesk
A brief overview of java frameworks
A brief overview of java frameworks
Thesis Defense (Gwendal DANIEL) - Nov 2017
Thesis Defense (Gwendal DANIEL) - Nov 2017
Shifu plugin-trainer and pmml-adapter
Shifu plugin-trainer and pmml-adapter
Keras on tensorflow in R & Python
Keras on tensorflow in R & Python
Extending Complex Event Processing to Graph-structured Information
Extending Complex Event Processing to Graph-structured Information
How to train your dragon
How to train your dragon
Convolutional neural network
Convolutional neural network
MLConf 2013: Metronome and Parallel Iterative Algorithms on YARN
MLConf 2013: Metronome and Parallel Iterative Algorithms on YARN
Comparison Between Levenberg-Marquardt And Scaled Conjugate Gradient Training...
Comparison Between Levenberg-Marquardt And Scaled Conjugate Gradient Training...
mlp10-sem2.pdf
mlp10-sem2.pdf
Más de Sungjoon Choi
Hybrid computing using a neural network with dynamic external memory
Hybrid computing using a neural network with dynamic external memory
Sungjoon Choi
Modeling uncertainty in deep learning
Modeling uncertainty in deep learning
Sungjoon Choi
Gaussian Process Latent Variable Model
Gaussian Process Latent Variable Model
Sungjoon Choi
Uncertainty Modeling in Deep Learning
Uncertainty Modeling in Deep Learning
Sungjoon Choi
Recent Trends in Deep Learning
Recent Trends in Deep Learning
Sungjoon Choi
Leveraged Gaussian Process
Leveraged Gaussian Process
Sungjoon Choi
LevDNN
LevDNN
Sungjoon Choi
IROS 2017 Slides
IROS 2017 Slides
Sungjoon Choi
Domain Adaptation Methods
Domain Adaptation Methods
Sungjoon Choi
InfoGAIL
InfoGAIL
Sungjoon Choi
Más de Sungjoon Choi
(10)
Hybrid computing using a neural network with dynamic external memory
Hybrid computing using a neural network with dynamic external memory
Modeling uncertainty in deep learning
Modeling uncertainty in deep learning
Gaussian Process Latent Variable Model
Gaussian Process Latent Variable Model
Uncertainty Modeling in Deep Learning
Uncertainty Modeling in Deep Learning
Recent Trends in Deep Learning
Recent Trends in Deep Learning
Leveraged Gaussian Process
Leveraged Gaussian Process
LevDNN
LevDNN
IROS 2017 Slides
IROS 2017 Slides
Domain Adaptation Methods
Domain Adaptation Methods
InfoGAIL
InfoGAIL
Último
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
MairaAshraf6
Thermal Engineering Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
DineshKumar4165
AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech students
vanyagupta248
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Arindam Chakraborty, Ph.D., P.E. (CA, TX)
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
JuliansyahHarahap1
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
mphochane1998
Verification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptx
chumtiyababu
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
MuhammadAsimMuhammad6
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
DineshKumar4165
Unit 4_Part 1 CSE2001 Exception Handling and Function Template and Class Temp...
Unit 4_Part 1 CSE2001 Exception Handling and Function Template and Class Temp...
drmkjayanthikannan
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ssuser89054b
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
JiananWang21
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Kandungan 087776558899
DC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equation
BhangaleSonal
Computer Networks Basics of Network Devices
Computer Networks Basics of Network Devices
ChandrakantDivate1
Hostel management system project report..pdf
Hostel management system project report..pdf
Kamal Acharya
Engineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planes
RAJNEESHKUMAR341697
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
jaanualu31
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
Epec Engineered Technologies
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
AldoGarca30
Último
(20)
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
Thermal Engineering Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech students
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
Verification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
Unit 4_Part 1 CSE2001 Exception Handling and Function Template and Class Temp...
Unit 4_Part 1 CSE2001 Exception Handling and Function Template and Class Temp...
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
DC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equation
Computer Networks Basics of Network Devices
Computer Networks Basics of Network Devices
Hostel management system project report..pdf
Hostel management system project report..pdf
Engineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planes
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
TensorFlow Tutorial Part2
1.
TensorFlow tutorial Part2 Sungjoon Choi (sungjoon.choi@cpslab.snu.ac.kr)
2.
Part1: TensorFlow tutorial Handling
images Logistic regression Multi-layer perceptron Convolutional neural network
3.
4.
5.
Overview 5 1. Load custom
dataset 2. Define Logistic regression model 3, Define functions 4. Train the model
6.
Load packages 6
7.
Load custom dataset 7
8.
Define Logistic regression
model 8
9.
Define functions 9
10.
Train the model 10
11.
Review 11 1. Load custom
dataset 2. Define Logistic regression model 3, Define functions 4. Train the model
12.
Part1: TensorFlow tutorial Handling
images Logistic regression Multi-layer perceptron Convolutional neural network
13.
14.
Load packages 14
15.
Load custom dataset 15
16.
Define MLP model 16
17.
Define functions 17
18.
Train the model 18
19.
Review 19 1. Load custom
dataset 2. Define MLP model 3. Define functions 4. Train the model
20.
Part1: TensorFlow tutorial Handling
images Logistic regression Multi-layer perceptron Convolutional neural network
21.
21
22.
22
23.
Load packages 23
24.
Load custom dataset 24
25.
Define CNN model
(1/2) 25
26.
Define CNN model
(2/2) 26
27.
Define functions 27
28.
Train the model 28
29.
Comparisons 29
Descargar ahora